Capturing data with Extracts

Extracts are the construct that allows users to capture and process data outside Ascent’s pipeline infrastructure. Extract use cases include: Saving mesh data to HDF5 files, creating Cinema databases, and running custom Python analysis scripts. These examples outline how to use several of Ascent’s extracts. See Ascent’s Extracts docs for deeper details on Extracts.

Exporting input mesh data to Blueprint HDF5 files

Related docs: Relay

C++

#include <iostream>
#include "ascent.hpp"
#include "conduit_blueprint.hpp"

using namespace ascent;
using namespace conduit;

int main(int argc, char **argv)
{
    //create example mesh using the conduit blueprint braid helper
    
    Node mesh;
    conduit::blueprint::mesh::examples::braid("hexs",
                                              25,
                                              25,
                                              25,
                                              mesh);

    // Use Ascent to export our mesh to blueprint flavored hdf5 files
    Ascent a;

    // open ascent
    a.open();

    // publish mesh to ascent
    a.publish(mesh);

    // setup actions
    Node actions;
    Node &add_act = actions.append();
    add_act["action"] = "add_extracts";

    // add a relay extract that will write mesh data to 
    // blueprint hdf5 files
    Node &extracts = add_act["extracts"];
    extracts["e1/type"] = "relay";
    extracts["e1/params/path"] = "out_export_braid_all_fields";
    extracts["e1/params/protocol"] = "blueprint/mesh/hdf5";

    // print our full actions tree
    std::cout << actions.to_yaml() << std::endl;

    // execute the actions
    a.execute(actions);

    // close ascent
    a.close();
}

Python


import conduit
import conduit.blueprint
import ascent
import numpy as np


mesh = conduit.Node()
conduit.blueprint.mesh.examples.braid("hexs",
                                      25,
                                      25,
                                      25,
                                      mesh)

# Use Ascent to export our mesh to blueprint flavored hdf5 files
a = ascent.Ascent()
a.open()

# publish mesh to ascent
a.publish(mesh);

# setup actions
actions = conduit.Node()
add_act = actions.append()
add_act["action"] = "add_extracts"

# add a relay extract that will write mesh data to 
# blueprint hdf5 files
extracts = add_act["extracts"]
extracts["e1/type"] = "relay"
extracts["e1/params/path"] = "out_export_braid_all_fields"
extracts["e1/params/protocol"] = "blueprint/mesh/hdf5"

# print our full actions tree
print(actions.to_yaml())

# execute the actions
a.execute(actions);

# close ascent
a.close()

VisIt 2.13 or newer, when built with Conduit support, can visualize meshes from these files.

_images/out_extract_visit_braid_all.png

Fig. 41 Exported Mesh Rendered in VisIt

Exporting selected fields from input mesh data to Blueprint HDF5 files

Related docs: Relay

C++

#include <iostream>
#include "ascent.hpp"
#include "conduit_blueprint.hpp"

using namespace ascent;
using namespace conduit;

int main(int argc, char **argv)
{
    //create example mesh using the conduit blueprint braid helper
    
    Node mesh;
    conduit::blueprint::mesh::examples::braid("hexs",
                                              25,
                                              25,
                                              25,
                                              mesh);

    // Use Ascent to export our mesh to blueprint flavored hdf5 files
    Ascent a;

    // open ascent
    a.open();

    // publish mesh to ascent
    a.publish(mesh);

    // setup actions
    Node actions;
    Node &add_act = actions.append();
    add_act["action"] = "add_extracts";

    // add a relay extract that will write mesh data to 
    // blueprint hdf5 files
    Node &extracts = add_act["extracts"];
    extracts["e1/type"] = "relay";
    extracts["e1/params/path"] = "out_export_braid_one_field";
    extracts["e1/params/protocol"] = "blueprint/mesh/hdf5";

    //
    // add fields parameter to limit the export to the just 
    // the `braid` field
    //
    extracts["e1/params/fields"].append().set("braid");

    // print our full actions tree
    std::cout << actions.to_yaml() << std::endl;

    // execute the actions
    a.execute(actions);

    // close ascent
    a.close();
}

Python


import conduit
import conduit.blueprint
import ascent
import numpy as np


mesh = conduit.Node()
conduit.blueprint.mesh.examples.braid("hexs",
                                      25,
                                      25,
                                      25,
                                      mesh)

# Use Ascent to export our mesh to blueprint flavored hdf5 files
a = ascent.Ascent()
a.open()

# publish mesh to ascent
a.publish(mesh);

# setup actions
actions = conduit.Node()
add_act = actions.append()
add_act["action"] = "add_extracts"

# add a relay extract that will write mesh data to 
# blueprint hdf5 files
extracts = add_act["extracts"]
extracts["e1/type"] = "relay"
extracts["e1/params/path"] = "out_export_braid_one_field"
extracts["e1/params/protocol"] = "blueprint/mesh/hdf5"

#
# add fields parameter to limit the export to the just 
# the `braid` field
#
extracts["e1/params/fields"].append().set("braid")

# print our full actions tree
print(actions.to_yaml())

# execute the actions
a.execute(actions);

a.close()
_images/out_extract_visit_braid_one.png

Fig. 42 Exported Mesh Rendered in VisIt

Exporting the result of a pipeline to Blueprint HDF5 files

Related docs: Relay

C++

#include <iostream>
#include "ascent.hpp"
#include "conduit_blueprint.hpp"

using namespace ascent;
using namespace conduit;

int main(int argc, char **argv)
{
    //create example mesh using the conduit blueprint braid helper
    
    Node mesh;
    conduit::blueprint::mesh::examples::braid("hexs",
                                              25,
                                              25,
                                              25,
                                              mesh);

    // Use Ascent to export contours to blueprint flavored hdf5 files
    Ascent a;

    // open ascent
    a.open();

    // publish mesh to ascent
    a.publish(mesh);

    // setup actions
    Node actions;
    Node &add_act = actions.append();
    add_act["action"] = "add_pipelines";
    Node &pipelines = add_act["pipelines"];

    // create a  pipeline (pl1) with a contour filter (f1)
    pipelines["pl1/f1/type"] = "contour";

    // extract contours where braid variable
    // equals 0.2 and 0.4
    Node &contour_params = pipelines["pl1/f1/params"];
    contour_params["field"] = "braid";

    double iso_vals[2] = {0.2, 0.4};
    contour_params["iso_values"].set(iso_vals,2);

    // add an extract to capture the pipeline result
    Node &add_act2 = actions.append();
    add_act2["action"] = "add_extracts";
    Node &extracts = add_act2["extracts"];

    // add an relay extract (e1) to export the pipeline result
    // (pl1) to blueprint hdf5 files
    extracts["e1/type"] = "relay";
    extracts["e1/pipeline"]  = "pl1";
    extracts["e1/params/path"] = "out_extract_braid_contour";
    extracts["e1/params/protocol"] = "blueprint/mesh/hdf5";

    // print our full actions tree
    std::cout << actions.to_yaml() << std::endl;

    // execute the actions
    a.execute(actions);

    // close ascent
    a.close();
}

Python


import conduit
import conduit.blueprint
import ascent
import numpy as np


mesh = conduit.Node()
conduit.blueprint.mesh.examples.braid("hexs",
                                      25,
                                      25,
                                      25,
                                      mesh)

# Use Ascent to calculate and render contours
a = ascent.Ascent()
a.open()

# publish our mesh to ascent
a.publish(mesh);

# setup actions
actions = conduit.Node()
add_act = actions.append();
add_act["action"] = "add_pipelines"
pipelines = add_act["pipelines"]

# create a  pipeline (pl1) with a contour filter (f1)
pipelines["pl1/f1/type"] = "contour"

# extract contours where braid variable
# equals 0.2 and 0.4
contour_params = pipelines["pl1/f1/params"]
contour_params["field"] = "braid"
iso_vals = np.array([0.2, 0.4],dtype=np.float32)
contour_params["iso_values"].set(iso_vals)

# add an extract to capture the pipeline result
add_act2 = actions.append()
add_act2["action"] = "add_extracts"
extracts = add_act2["extracts"]

# add an relay extract (e1) to export the pipeline result
# (pl1) to blueprint hdf5 files
extracts["e1/type"] = "relay"
extracts["e1/pipeline"]  = "pl1"
extracts["e1/params/path"] = "out_extract_braid_contour"
extracts["e1/params/protocol"] = "blueprint/mesh/hdf5"

# print our full actions tree
print(actions.to_yaml())

# execute the actions
a.execute(actions);

a.close()
_images/out_extract_visit_braid_contour.png

Fig. 43 Exported Mesh Rendered in VisIt

Creating a Cinema image database for post-hoc exploration

Related docs: Cinema Databases

C++

#include <iostream>
#include "ascent.hpp"
#include "conduit_blueprint.hpp"

using namespace ascent;
using namespace conduit;

int main(int argc, char **argv)
{
    //create example mesh using the conduit blueprint braid helper
    
    Node mesh;
    conduit::blueprint::mesh::examples::braid("hexs",
                                              25,
                                              25,
                                              25,
                                              mesh);

    // Use Ascent to create a Cinema Image Database
    Ascent a;

    // open ascent
    a.open();

    // publish mesh to ascent
    a.publish(mesh);

    // setup actions
    Node actions;
    Node &add_act = actions.append();
    add_act["action"] = "add_pipelines";
    Node &pipelines = add_act["pipelines"];

    // create a  pipeline (pl1) with a contour filter (f1)
    pipelines["pl1/f1/type"] = "contour";

    // extract contours where braid variable
    // equals 0.2 and 0.4
    Node &contour_params = pipelines["pl1/f1/params"];
    contour_params["field"] = "braid";

    double iso_vals[2] = {0.2, 0.4};
    contour_params["iso_values"].set(iso_vals,2);

    // declare a scene to render several angles of
    // the pipeline result (pl1) to a Cinema Image
    // database

    Node &add_act2 = actions.append();
    add_act2["action"] = "add_scenes";
    Node &scenes = add_act2["scenes"];

    scenes["s1/plots/p1/type"] = "pseudocolor";
    scenes["s1/plots/p1/pipeline"] = "pl1";
    scenes["s1/plots/p1/field"] = "braid";
    // select cinema path
    scenes["s1/renders/r1/type"] = "cinema";
    // use 5 renders in phi
    scenes["s1/renders/r1/phi"] = 5;
    // and 5 renders in theta
    scenes["s1/renders/r1/theta"] = 5;
    // setup to output database to:
    //  cinema_databases/out_extract_cinema_contour
    // you can view using a webserver to open:
    //  cinema_databases/out_extract_cinema_contour/index.html
    scenes["s1/renders/r1/db_name"] = "out_extract_cinema_contour";

    // print our full actions tree
    std::cout << actions.to_yaml() << std::endl;

    // execute the actions
    a.execute(actions);

    // close ascent
    a.close();
}

Python


import conduit
import conduit.blueprint
import ascent
import numpy as np


mesh = conduit.Node()
conduit.blueprint.mesh.examples.braid("hexs",
                                      25,
                                      25,
                                      25,
                                      mesh)

a = ascent.Ascent()
a.open()

# publish mesh to ascent
a.publish(mesh);

# setup actions
actions = conduit.Node()
add_act = actions.append();
add_act["action"] = "add_pipelines"
pipelines = add_act["pipelines"]

# create a  pipeline (pl1) with a contour filter (f1)
pipelines["pl1/f1/type"] = "contour"

# extract contours where braid variable
# equals 0.2 and 0.4
contour_params = pipelines["pl1/f1/params"]
contour_params["field"] = "braid"
iso_vals = np.array([0.2, 0.4],dtype=np.float32)
contour_params["iso_values"].set(iso_vals)

# declare a scene to render several angles of
# the pipeline result (pl1) to a Cinema Image
# database

add_act2 = actions.append()
add_act2["action"] = "add_scenes"
scenes = add_act2["scenes"]

scenes["s1/plots/p1/type"] = "pseudocolor"
scenes["s1/plots/p1/pipeline"] = "pl1"
scenes["s1/plots/p1/field"] = "braid"
# select cinema path
scenes["s1/renders/r1/type"] = "cinema"
# use 5 renders in phi
scenes["s1/renders/r1/phi"] = 5
# and 5 renders in theta
scenes["s1/renders/r1/theta"] = 5
# setup to output database to:
#  cinema_databases/out_extract_cinema_contour
# you can view using a webserver to open:
#  cinema_databases/out_extract_cinema_contour/index.html
scenes["s1/renders/r1/db_name"] = "out_extract_cinema_contour"

# print our full actions tree
print(actions.to_yaml())

# execute the actions
a.execute(actions);

a.close()
_images/out_extracts_cinema_snap.png

Fig. 44 Snapshot of Cinema Database Result

Using a Python Extract to execute custom Python analysis

Related docs: Python

C++

#include <iostream>
#include "ascent.hpp"
#include "conduit_blueprint.hpp"

using namespace ascent;
using namespace conduit;

int main(int argc, char **argv)
{
    //create example mesh using the conduit blueprint braid helper
    
    Node mesh;
    conduit::blueprint::mesh::examples::braid("hexs",
                                              25,
                                              25,
                                              25,
                                              mesh);

    // Use Ascent to execute a python script
    // that computes a histogram
    Ascent a;

    // open ascent
    a.open();

    // publish mesh to ascent
    a.publish(mesh);

    // setup actions
    Node actions;
    Node &add_act = actions.append();
    add_act["action"] = "add_extracts";

    // add an extract to execute custom python code
    // in `ascent_tutorial_python_extract_braid_histogram.py`

    //
    // This extract script runs the same histogram code as above,
    // but saves the output to `out_py_extract_hist_results.yaml`
    //

    Node &extracts = add_act["extracts"];
    extracts["e1/type"] = "python";
    extracts["e1/params/file"] = "ascent_tutorial_python_extract_braid_histogram.py";

    // print our full actions tree
    std::cout << actions.to_yaml() << std::endl;

    // execute the actions
    a.execute(actions);

    // close ascent
    a.close();

}

Output

Energy extents: -9.850344080110776 9.956328748632988

Histogram of Energy:

Counts:
[ 13  23  33  55  85 102 135 153 220 211 254 267 312 339 365 377 428 486
 555 537 594 635 681 683 685 688 635 606 629 530 475 480 474 466 360 366
 349 284 243 202 167 120 104  72  60  45  21  11  10]

Bin Edges:
[-9.85034408 -9.44612627 -9.04190845 -8.63769064 -8.23347283 -7.82925502
 -7.4250372  -7.02081939 -6.61660158 -6.21238376 -5.80816595 -5.40394814
 -4.99973033 -4.59551251 -4.1912947  -3.78707689 -3.38285907 -2.97864126
 -2.57442345 -2.17020564 -1.76598782 -1.36177001 -0.9575522  -0.55333438
 -0.14911657  0.25510124  0.65931905  1.06353687  1.46775468  1.87197249
  2.2761903   2.68040812  3.08462593  3.48884374  3.89306156  4.29727937
  4.70149718  5.10571499  5.50993281  5.91415062  6.31836843  6.72258625
  7.12680406  7.53102187  7.93523968  8.3394575   8.74367531  9.14789312
  9.55211094  9.95632875]

Python


import conduit
import conduit.blueprint
import ascent
import numpy as np


mesh = conduit.Node()
conduit.blueprint.mesh.examples.braid("hexs",
                                      25,
                                      25,
                                      25,
                                      mesh)

#
# Ascent provides an embedded Python environment to support
# custom analysis. When using MPI this environment supports 
# distributed-memory processing with one Python interpreter 
# per MPI task.
#
# You can use this environment in Ascent's Python Extract.
#
# In the case you are already using Ascent from Python this may 
# appear a bit odd. Yes, this feature is most useful to 
# provide a Python analysis environment to simulation codes written 
# in other lanauges (C++, C, or Fortran). Reguardless, we can 
# still access it and leverage it from Python.
#
#
# For more detials about the Python extract, see:
# https://ascent.readthedocs.io/en/latest/Actions/Extracts.html#python
#

#
# First, we a histogram calcuation directly in our current 
# Python interpreter and then we will compare results
# with running the same code via a Python Extract.
#

# fetch the numpy array for the braid field values
e_vals = mesh["fields/braid/values"]

# find the data extents of the braid field
e_min, e_max = e_vals.min(), e_vals.max()

# compute bins on extents
bins = np.linspace(e_min, e_max)

# get histogram counts
hist, bin_edges = np.histogram(e_vals, bins = bins)

print("\nEnergy extents: {} {}\n".format(e_min, e_max))
print("Histogram of Energy:\n")
print("Counts:")
print(hist)
print("\nBin Edges:")
print(bin_edges)
print("")

# save our results to a yaml file
hist_results = conduit.Node()
hist_results["hist"] = hist
hist_results["bin_edges"] = bin_edges
hist_results.save("out_hist_results.yaml","yaml")

# Use Ascent to execute the histogram script.
a = ascent.Ascent()
ascent_opts = conduit.Node()
ascent_opts["exceptions"] = "forward"
a.open(ascent_opts)

# publish mesh to ascent
a.publish(mesh);

# setup actions
actions = conduit.Node()
add_act = actions.append()
add_act["action"] = "add_extracts"

# add an extract to execute custom python code
# in `ascent_tutorial_python_extract_braid_histogram.py`

#
# This extract script runs the same histogram code as above,
# but saves the output to `out_py_extract_hist_results.yaml`
# 

extracts = add_act["extracts"]
extracts["e1/type"] = "python"
extracts["e1/params/file"] = "ascent_tutorial_python_extract_braid_histogram.py"


# print our full actions tree
print(actions.to_yaml())

# execute the actions
a.execute(actions);

# close ascent
a.close()

#
# Load and compare the extract yaml results,
# they should match our earlier results.
#
hist_extract_results = conduit.Node()
hist_extract_results.load("out_py_extract_hist_results.yaml",protocol="yaml")

diff_info = conduit.Node()
# hist_results is a Node with our earlier results 
if hist_results.diff(hist_extract_results,diff_info):
    print("Extract results differ!")
    print(diff_info.to_yaml())
else:
    print("Extract results match.")

Output

Energy extents: -9.850344080110776 9.956328748632988

Histogram of Energy:

Counts:
[ 13  23  33  55  85 102 135 153 220 211 254 267 312 339 365 377 428 486
 555 537 594 635 681 683 685 688 635 606 629 530 475 480 474 466 360 366
 349 284 243 202 167 120 104  72  60  45  21  11  10]

Bin Edges:
[-9.85034408 -9.44612627 -9.04190845 -8.63769064 -8.23347283 -7.82925502
 -7.4250372  -7.02081939 -6.61660158 -6.21238376 -5.80816595 -5.40394814
 -4.99973033 -4.59551251 -4.1912947  -3.78707689 -3.38285907 -2.97864126
 -2.57442345 -2.17020564 -1.76598782 -1.36177001 -0.9575522  -0.55333438
 -0.14911657  0.25510124  0.65931905  1.06353687  1.46775468  1.87197249
  2.2761903   2.68040812  3.08462593  3.48884374  3.89306156  4.29727937
  4.70149718  5.10571499  5.50993281  5.91415062  6.31836843  6.72258625
  7.12680406  7.53102187  7.93523968  8.3394575   8.74367531  9.14789312
  9.55211094  9.95632875]


- 
  action: "add_extracts"
  extracts: 
    e1: 
      type: "python"
      params: 
        file: "ascent_tutorial_python_extract_braid_histogram.py"


Energy extents: -9.850344080110776 9.956328748632988

Histogram of Energy:

Counts:
[ 13  23  33  55  85 102 135 153 220 211 254 267 312 339 365 377 428 486
 555 537 594 635 681 683 685 688 635 606 629 530 475 480 474 466 360 366
 349 284 243 202 167 120 104  72  60  45  21  11  10]

Bin Edges:
[-9.85034408 -9.44612627 -9.04190845 -8.63769064 -8.23347283 -7.82925502
 -7.4250372  -7.02081939 -6.61660158 -6.21238376 -5.80816595 -5.40394814
 -4.99973033 -4.59551251 -4.1912947  -3.78707689 -3.38285907 -2.97864126
 -2.57442345 -2.17020564 -1.76598782 -1.36177001 -0.9575522  -0.55333438
 -0.14911657  0.25510124  0.65931905  1.06353687  1.46775468  1.87197249
  2.2761903   2.68040812  3.08462593  3.48884374  3.89306156  4.29727937
  4.70149718  5.10571499  5.50993281  5.91415062  6.31836843  6.72258625
  7.12680406  7.53102187  7.93523968  8.3394575   8.74367531  9.14789312
  9.55211094  9.95632875]

Extract results match.