diff --git a/pyproject.toml b/pyproject.toml
index 4a717646..62d69e4e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,6 +20,7 @@ readme = {file = "README.md", content-type = "text/markdown"}
 
 dependencies = [
     "aind_behavior_services>=0.13.5",
+    "contraqctor>=0.5.8",
     "pydantic-settings",
     "scikit-learn>=1.8.0",
 ]
diff --git a/schema/aind_behavior_dynamic_foraging.json b/schema/aind_behavior_dynamic_foraging.json
index b887ffa7..521d0d4e 100644
--- a/schema/aind_behavior_dynamic_foraging.json
+++ b/schema/aind_behavior_dynamic_foraging.json
@@ -3,7 +3,7 @@
     "AindDynamicForagingRig": {
       "properties": {
         "aind_behavior_services_pkg_version": {
-          "default": "0.13.5",
+          "default": "0.13.7",
           "pattern": "^(0|[1-9]\\d*)\\.(0|[1-9]\\d*)\\.(0|[1-9]\\d*)(?:-((?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\\.(?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\\+([0-9a-zA-Z-]+(?:\\.[0-9a-zA-Z-]+)*))?$",
           "title": "aind_behavior_services package version",
           "type": "string"
@@ -194,7 +194,7 @@
           "title": "Rng Seed"
         },
         "aind_behavior_services_pkg_version": {
-          "default": "0.13.5",
+          "default": "0.13.7",
           "pattern": "^(0|[1-9]\\d*)\\.(0|[1-9]\\d*)\\.(0|[1-9]\\d*)(?:-((?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\\.(?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\\+([0-9a-zA-Z-]+(?:\\.[0-9a-zA-Z-]+)*))?$",
           "title": "aind_behavior_services package version",
           "type": "string"
@@ -2801,14 +2801,14 @@
     "Session": {
       "properties": {
         "aind_behavior_services_pkg_version": {
-          "default": "0.13.5",
+          "default": "0.13.7",
           "pattern": "^(0|[1-9]\\d*)\\.(0|[1-9]\\d*)\\.(0|[1-9]\\d*)(?:-((?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\\.(?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\\+([0-9a-zA-Z-]+(?:\\.[0-9a-zA-Z-]+)*))?$",
           "title": "aind_behavior_services package version",
           "type": "string"
         },
         "version": {
-          "const": "0.13.5",
-          "default": "0.13.5",
+          "const": "0.13.7",
+          "default": "0.13.7",
           "title": "Version",
           "type": "string"
         },
diff --git a/schema/coupled_baiting.json b/schema/coupled_baiting.json
index 80179c46..5dd004c1 100644
--- a/schema/coupled_baiting.json
+++ b/schema/coupled_baiting.json
@@ -11,7 +11,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 4.0,
                             "left_value_volume": 4.0
@@ -186,7 +186,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -289,7 +289,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -392,7 +392,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -495,7 +495,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -606,7 +606,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
diff --git a/schema/uncoupled.json b/schema/uncoupled.json
index 9b5caf9b..7a9b0193 100644
--- a/schema/uncoupled.json
+++ b/schema/uncoupled.json
@@ -11,7 +11,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 4.0,
                             "left_value_volume": 4.0
@@ -186,7 +186,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -289,7 +289,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -392,7 +392,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -481,7 +481,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -566,7 +566,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
diff --git a/schema/uncoupled_baiting.json b/schema/uncoupled_baiting.json
index 1ceddb14..ba001566 100644
--- a/schema/uncoupled_baiting.json
+++ b/schema/uncoupled_baiting.json
@@ -11,7 +11,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 4.0,
                             "left_value_volume": 4.0
@@ -186,7 +186,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -289,7 +289,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -392,7 +392,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -481,7 +481,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
@@ -570,7 +570,7 @@
                     "description": "",
                     "task_parameters": {
                         "rng_seed": null,
-                        "aind_behavior_services_pkg_version": "0.13.5",
+                        "aind_behavior_services_pkg_version": "0.13.7",
                         "reward_size": {
                             "right_value_volume": 2.0,
                             "left_value_volume": 2.0
diff --git a/scripts/walk_through_session.py b/scripts/walk_through_session.py
index 885320dc..fef9cceb 100644
--- a/scripts/walk_through_session.py
+++ b/scripts/walk_through_session.py
@@ -1,11 +1,10 @@
 import logging
 import os
 
-from aind_behavior_dynamic_foraging.task_logic.trial_generators.coupled_warmup_trial_generator import (
+from aind_behavior_dynamic_foraging.data_contract import dataset as df_foraging_dataset
+from aind_behavior_dynamic_foraging.task_logic.trial_generators.coupled_trial_generators.coupled_warmup_trial_generator import (
     CoupledWarmupTrialGeneratorSpec,
 )
-
-from aind_behavior_dynamic_foraging.data_contract import dataset as df_foraging_dataset
 from aind_behavior_dynamic_foraging.task_logic.trial_models import TrialOutcome
 
 logging.basicConfig(
@@ -20,10 +19,10 @@ def walk_through_session(data_directory: os.PathLike):
     software_events.load_all()
 
     trial_outcomes = software_events["TrialOutcome"].data["data"].iloc
-    warmup_trial_generator = CoupledWarmupTrialGeneratorSpec().create_generator()
+    trial_generator = CoupledWarmupTrialGeneratorSpec().create_generator()
     for i, outcome in enumerate(trial_outcomes):
-        warmup_trial_generator.update(TrialOutcome.model_validate(outcome))
-        trial = warmup_trial_generator.next()
+        trial_generator.update(TrialOutcome.model_validate(outcome))
+        trial = trial_generator.next()
 
         if not trial:
             print(f"Session finished at trial {i}")
diff --git a/src/Extensions/AindBehaviorDynamicForaging.Generated.cs b/src/Extensions/AindBehaviorDynamicForaging.Generated.cs
index 52a7c6c6..3a227bd4 100644
--- a/src/Extensions/AindBehaviorDynamicForaging.Generated.cs
+++ b/src/Extensions/AindBehaviorDynamicForaging.Generated.cs
@@ -49,7 +49,7 @@ public partial class AindDynamicForagingRig
     
         public AindDynamicForagingRig()
         {
-            _aindBehaviorServicesPkgVersion = "0.13.5";
+            _aindBehaviorServicesPkgVersion = "0.13.7";
             _version = "0.0.2";
             _triggeredCameraController = new CameraControllerSpinnakerCamera();
             _harpBehavior = new HarpBehavior();
@@ -590,7 +590,7 @@ public partial class AindDynamicForagingTaskParameters
     
         public AindDynamicForagingTaskParameters()
         {
-            _aindBehaviorServicesPkgVersion = "0.13.5";
+            _aindBehaviorServicesPkgVersion = "0.13.7";
             _rewardSize = new RewardSize();
             _trialGenerator = new TrialGeneratorSpec();
         }
@@ -4918,8 +4918,8 @@ public partial class Session
     
         public Session()
         {
-            _aindBehaviorServicesPkgVersion = "0.13.5";
-            _version = "0.13.5";
+            _aindBehaviorServicesPkgVersion = "0.13.7";
+            _version = "0.13.7";
             _experimenter = new System.Collections.Generic.List<string>();
             _allowDirtyRepo = false;
             _skipHardwareValidation = false;
diff --git a/src/Extensions/bonsai.py b/src/Extensions/bonsai.py
index 5fab0e0f..6c0c2811 100644
--- a/src/Extensions/bonsai.py
+++ b/src/Extensions/bonsai.py
@@ -1,8 +1,16 @@
+import logging
+import sys
 from typing import TYPE_CHECKING
 
 from pydantic import TypeAdapter
 
-from aind_behavior_dynamic_foraging.task_logic import TrialGeneratorSpec
+logging.basicConfig(
+    stream=sys.stdout,
+    level=logging.DEBUG,
+    format='{"name": "%(name)s", "level": %(levelno)d, "msg": "%(message)s"}',
+)
+
+from aind_behavior_dynamic_foraging.task_logic import TrialGeneratorSpec  # noqa
 
 if TYPE_CHECKING:
     from aind_behavior_dynamic_foraging.task_logic.trial_generators._base import ITrialGenerator
diff --git a/src/aind_behavior_dynamic_foraging/data_contract/_dataset.py b/src/aind_behavior_dynamic_foraging/data_contract/_dataset.py
index 91451a04..a9055b29 100644
--- a/src/aind_behavior_dynamic_foraging/data_contract/_dataset.py
+++ b/src/aind_behavior_dynamic_foraging/data_contract/_dataset.py
@@ -1,6 +1,6 @@
 from pathlib import Path
 
-from aind_behavior_curriculum import TrainerState
+from aind_behavior_curriculum import Metrics, TrainerState
 from aind_behavior_services.session import Session
 from contraqctor.contract import Dataset, DataStreamCollection
 from contraqctor.contract.camera import Camera
@@ -61,10 +61,18 @@ def make_dataset(
                 data_streams=[
                     Json(
                         name="PreviousMetrics",
-                        reader_params=Json.make_params(
+                        reader_params=PydanticModel.make_params(
+                            model=Metrics,
                             path=root_path / "behavior/previous_metrics.json",
                         ),
                     ),
+                    PydanticModel(
+                        name="Metrics",
+                        reader_params=PydanticModel.make_params(
+                            model=Metrics,
+                            path=root_path / "behavior/metrics.json",
+                        ),
+                    ),
                     PydanticModel(
                         name="TrainerState",
                         reader_params=PydanticModel.make_params(
diff --git a/uv.lock b/uv.lock
index efa9d3c7..a0dfa692 100644
--- a/uv.lock
+++ b/uv.lock
@@ -17,6 +17,7 @@ resolution-markers = [
 members = [
     "aind-behavior-dynamic-foraging",
     "aind-behavior-dynamic-foraging-curricula",
+    "aind-behavior-dynamic-foraging-metadata-mapper",
 ]
 
 [[package]]
@@ -33,16 +34,16 @@ wheels = [
 
 [[package]]
 name = "aind-behavior-curriculum"
-version = "0.0.38"
+version = "0.0.42"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jinja2" },
     { name = "pydantic" },
     { name = "semver" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/49/ad/812f8cd33857366d7b1da81443ed60777992e591438c7104ad9fe0d4ac9f/aind_behavior_curriculum-0.0.38.tar.gz", hash = "sha256:11cce6a455ee3a2c0464e5f0ff170c44f1f9caf50cd3f1bf9bd9df7a41248e0d", size = 139193, upload-time = "2026-03-09T10:56:32.906Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/90/ba/aa4a17b806972f02cf8962a3ca0c677422609db818891a7b860753cdc5c9/aind_behavior_curriculum-0.0.42.tar.gz", hash = "sha256:29284e0e32af84b31fb7213b3d60aa8607684d933956d326f7d05646bb4bcdad", size = 143126, upload-time = "2026-04-21T17:44:07.497Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/74/36/53daf76d7a3a27245fdee89e7900bbb13b9db0327af22d5f3e10c3273720/aind_behavior_curriculum-0.0.38-py3-none-any.whl", hash = "sha256:ec77803fc0cad1c9f430bad3f1d2404dd324ce24ee7970b8d8337de2d6ad2d3c", size = 48048, upload-time = "2026-03-09T10:56:31.299Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/a2/157d8ab62123d1aec2a4eba294402b6e3a49c8c35ced828b6d512989cddd/aind_behavior_curriculum-0.0.42-py3-none-any.whl", hash = "sha256:2730281fa5935282febfcd1d55ed7505d3cdceb6e5f433fd3ddc68bf553d8531", size = 48216, upload-time = "2026-04-21T17:44:06.388Z" },
 ]
 
 [[package]]
@@ -51,6 +52,7 @@ version = "0.0.2"
 source = { editable = "." }
 dependencies = [
     { name = "aind-behavior-services" },
+    { name = "contraqctor" },
     { name = "pydantic-settings" },
     { name = "scikit-learn" },
 ]
@@ -79,6 +81,7 @@ docs = [
 [package.metadata]
 requires-dist = [
     { name = "aind-behavior-services", specifier = ">=0.13.5" },
+    { name = "contraqctor", specifier = ">=0.5.8" },
     { name = "contraqctor", marker = "extra == 'data'", specifier = ">=0.5.8" },
     { name = "pydantic-settings" },
     { name = "scikit-learn", specifier = ">=1.8.0" },
@@ -107,7 +110,8 @@ source = { editable = "workspace/aind_behavior_dynamic_foraging_curricula" }
 dependencies = [
     { name = "aind-behavior-curriculum" },
     { name = "aind-behavior-dynamic-foraging" },
-    { name = "numpy" },
+    { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
+    { name = "numpy", version = "2.5.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
     { name = "pydantic-settings" },
 ]
 
@@ -149,9 +153,63 @@ docs = [
     { name = "ruff" },
 ]
 
+[[package]]
+name = "aind-behavior-dynamic-foraging-metadata-mapper"
+version = "0.0.1"
+source = { editable = "workspace/aind_behavior_dynamic_foraging_metadata_mapper" }
+dependencies = [
+    { name = "aind-behavior-dynamic-foraging" },
+    { name = "aind-clabe" },
+    { name = "aind-data-schema" },
+    { name = "cyclopts" },
+    { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
+    { name = "numpy", version = "2.5.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
+    { name = "pydantic-settings" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "codespell" },
+    { name = "pytest" },
+    { name = "pytest-cov" },
+    { name = "ruff" },
+]
+docs = [
+    { name = "mkdocs" },
+    { name = "mkdocs-material" },
+    { name = "mkdocstrings", extra = ["python"] },
+    { name = "pymdown-extensions" },
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "aind-behavior-dynamic-foraging", editable = "." },
+    { name = "aind-clabe", specifier = ">=0.11.2" },
+    { name = "aind-data-schema", specifier = ">=2.6.0" },
+    { name = "cyclopts", specifier = ">=4.10.0" },
+    { name = "numpy", specifier = ">=2.4.2" },
+    { name = "pydantic-settings" },
+]
+
+[package.metadata.requires-dev]
+dev = [
+    { name = "codespell" },
+    { name = "pytest" },
+    { name = "pytest-cov" },
+    { name = "ruff" },
+]
+docs = [
+    { name = "mkdocs" },
+    { name = "mkdocs-material" },
+    { name = "mkdocstrings", extras = ["python"] },
+    { name = "pymdown-extensions" },
+    { name = "ruff" },
+]
+
 [[package]]
 name = "aind-behavior-services"
-version = "0.13.5"
+version = "0.13.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aind-behavior-curriculum" },
@@ -160,9 +218,57 @@ dependencies = [
     { name = "pydantic" },
     { name = "semver" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/36/89/17cad4b1c9c75de7f71dc735ed07334eab9ea01876ddffdf6f9f64b5978a/aind_behavior_services-0.13.5.tar.gz", hash = "sha256:f771f3d1ebfc60c17cff53a2c4ad8d0919411e26066e712ef4f6cb10cd857b57", size = 29399, upload-time = "2026-03-23T18:47:18.78Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/69/6d/540d7221485fb04ae4f04f99a57c930035c39ecb2b899937828aae81936f/aind_behavior_services-0.13.7.tar.gz", hash = "sha256:2ef5a28ea5918c059cf4444e105ce00068d5285193eb63bf7f87b89db2d1b5d2", size = 29573, upload-time = "2026-04-18T22:20:04.267Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/54/3d/a92f31e7ce1886bcaac017f25ae578589dc6ef3060f4ba10792f8c5b2e14/aind_behavior_services-0.13.5-py3-none-any.whl", hash = "sha256:bbd6ff52903a4d8d97c84f908f745a7784ded0047388225d8dee6515cd77b588", size = 39453, upload-time = "2026-03-23T18:47:19.678Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/bf/423d28364d564008a33d40d7aad1fbbed5e028b5bda39ed5cafc41651d7e/aind_behavior_services-0.13.7-py3-none-any.whl", hash = "sha256:ab57927ce283cb07a47c4b02eecee8038421f8292c5efbeeaaf907fd6a69eb08", size = 39614, upload-time = "2026-04-18T22:20:02.941Z" },
+]
+
+[[package]]
+name = "aind-clabe"
+version = "0.11.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aind-behavior-services" },
+    { name = "gitpython" },
+    { name = "pydantic" },
+    { name = "pydantic-settings" },
+    { name = "requests" },
+    { name = "rich" },
+    { name = "semver" },
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+    { url = "https://files.pythonhosted.org/packages/80/87/b9fd69c92c6102a066e1b86a35243f53e70bd4c709f2a26d9f4fee4f4dc0/typer-0.26.8-py3-none-any.whl", hash = "sha256:3512ca79ac5c11113414b36e80281b872884477722440691c89d1112e321a49c", size = 122564, upload-time = "2026-06-26T09:22:44.72Z" },
 ]
 
 [[package]]
@@ -2379,20 +2682,29 @@ wheels = [
 
 [[package]]
 name = "tzdata"
-version = "2025.3"
+version = "2026.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/19/1b9b0e29f30c6d35cb345486df41110984ea67ae69dddbc0e8a100999493/tzdata-2026.2.tar.gz", hash = "sha256:9173fde7d80d9018e02a662e168e5a2d04f87c41ea174b139fbef642eda62d10", size = 198254, upload-time = "2026-04-24T15:22:08.651Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ce/e4/dccd7f47c4b64213ac01ef921a1337ee6e30e8c6466046018326977efd95/tzdata-2026.2-py2.py3-none-any.whl", hash = "sha256:bbe9af844f658da81a5f95019480da3a89415801f6cc966806612cc7169bffe7", size = 349321, upload-time = "2026-04-24T15:22:05.876Z" },
+]
+
+[[package]]
+name = "uc-micro-py"
+version = "2.0.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/5e/a7/c202b344c5ca7daf398f3b8a477eeb205cf3b6f32e7ec3a6bac0629ca975/tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7", size = 196772, upload-time = "2025-12-13T17:45:35.667Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/78/67/9a363818028526e2d4579334460df777115bdec1bb77c08f9db88f6389f2/uc_micro_py-2.0.0.tar.gz", hash = "sha256:c53691e495c8db60e16ffc4861a35469b0ba0821fe409a8a7a0a71864d33a811", size = 6611, upload-time = "2026-03-01T06:31:27.526Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c7/b0/003792df09decd6849a5e39c28b513c06e84436a54440380862b5aeff25d/tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1", size = 348521, upload-time = "2025-12-13T17:45:33.889Z" },
+    { url = "https://files.pythonhosted.org/packages/61/73/d21edf5b204d1467e06500080a50f79d49ef2b997c79123a536d4a17d97c/uc_micro_py-2.0.0-py3-none-any.whl", hash = "sha256:3603a3859af53e5a39bc7677713c78ea6589ff188d70f4fee165db88e22b242c", size = 6383, upload-time = "2026-03-01T06:31:26.257Z" },
 ]
 
 [[package]]
 name = "urllib3"
-version = "2.6.3"
+version = "2.7.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
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 [[package]]
diff --git a/workspace/aind_behavior_dynamic_foraging_curricula/pyproject.toml b/workspace/aind_behavior_dynamic_foraging_curricula/pyproject.toml
index 21e54785..77febb94 100644
--- a/workspace/aind_behavior_dynamic_foraging_curricula/pyproject.toml
+++ b/workspace/aind_behavior_dynamic_foraging_curricula/pyproject.toml
@@ -24,7 +24,7 @@ dependencies = [
     "aind-behavior-curriculum >= 0.0.38",
     "numpy>=2.4.2",
     "pydantic-settings",
-    "aind-behavior-dynamic-foraging==0.0.2rc24"
+    "aind-behavior-dynamic-foraging"
 ]
 
 [tool.uv.sources]
diff --git a/workspace/aind_behavior_dynamic_foraging_curricula/src/aind_behavior_dynamic_foraging_curricula/metrics.py b/workspace/aind_behavior_dynamic_foraging_curricula/src/aind_behavior_dynamic_foraging_curricula/metrics.py
index cdab6c50..1cb5f204 100644
--- a/workspace/aind_behavior_dynamic_foraging_curricula/src/aind_behavior_dynamic_foraging_curricula/metrics.py
+++ b/workspace/aind_behavior_dynamic_foraging_curricula/src/aind_behavior_dynamic_foraging_curricula/metrics.py
@@ -80,7 +80,7 @@ def metrics_from_dataset(
     logger.debug(f"Calculated foraging efficiency as {foraging_efficiency}")
 
     try:
-        prev_metrics = DynamicForagingMetrics(**dataset["Behavior"]["PreviousMetrics"].data)
+        prev_metrics = DynamicForagingMetrics.model_validate(dataset["Behavior"]["PreviousMetrics"].data)
         prev_stage = prev_metrics.stage_name
     except FileNotFoundError:
         logger.info("No previous metrics found.")
diff --git a/workspace/aind_behavior_dynamic_foraging_curricula/tests/test_metrics.py b/workspace/aind_behavior_dynamic_foraging_curricula/tests/test_metrics.py
index 71f62784..ed46e6ae 100644
--- a/workspace/aind_behavior_dynamic_foraging_curricula/tests/test_metrics.py
+++ b/workspace/aind_behavior_dynamic_foraging_curricula/tests/test_metrics.py
@@ -3,8 +3,6 @@
 from typing import Optional
 from unittest.mock import MagicMock, PropertyMock, patch
 
-import numpy as np
-
 from aind_behavior_dynamic_foraging_curricula.metrics import (
     metrics_from_dataset,
 )
@@ -110,17 +108,6 @@ def test_previous_metrics_accumulate(self):
         self.assertEqual(len(result.foraging_efficiency_per_session), 2)
         self.assertEqual(len(result.unignored_trials_per_session), 2)
 
-    def test_foraging_efficiency_is_finite_and_positive(self):
-        trials = [
-            _make_trial(True, True, 0.7, 0.3),
-            _make_trial(True, False, 0.7, 0.3),
-            _make_trial(False, True, 0.7, 0.3),
-        ]
-        with _patch_dataset(trials):
-            result = metrics_from_dataset(self.tmp_path)
-        self.assertGreater(result.foraging_efficiency_per_session[-1], 0)
-        self.assertTrue(np.isfinite(result.foraging_efficiency_per_session[-1]))
-
 
 if __name__ == "__main__":
     unittest.main()
diff --git a/workspace/aind_behavior_dynamic_foraging_metadata_mapper/README.md b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/README.md
new file mode 100644
index 00000000..e69de29b
diff --git a/workspace/aind_behavior_dynamic_foraging_metadata_mapper/pyproject.toml b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/pyproject.toml
new file mode 100644
index 00000000..436b2a13
--- /dev/null
+++ b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/pyproject.toml
@@ -0,0 +1,77 @@
+[build-system]
+requires = ["uv_build>=0.8.22"]
+build-backend = "uv_build"
+
+[project]
+name = "aind-behavior-dynamic-foraging-metadata-mapper"
+description = "A library of mapping for the Dynamic Foraging task."
+authors = [
+    {name = "Bruno Cruz", email = "bruno.cruz@alleninstitute.org"},
+    {name = "Micah Woodard", email = "micah.woodard@alleninstitute.org"}
+    ]
+license = "MIT"
+version = "0.0.1"
+requires-python = ">=3.11"
+classifiers = [
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Operating System :: Microsoft :: Windows",
+]
+readme = {file = "README.md", content-type = "text/markdown"}
+
+dependencies = [
+    "numpy>=2.4.2",
+    "pydantic-settings",
+    "aind-behavior-dynamic-foraging",
+    "aind-data-schema>=2.6.0",
+    "cyclopts>=4.10.0",
+    "aind-clabe>=0.11.2",
+]
+
+[tool.uv.sources]
+aind-behavior-dynamic-foraging = { workspace = true }
+
+[dependency-groups]
+
+dev = [
+    'ruff',
+    'pytest',
+    'pytest-cov',
+    'codespell',
+]
+
+docs = [
+    'mkdocs',
+    'mkdocs-material',
+    'mkdocstrings[python]',
+    'pymdown-extensions',
+    'ruff',
+]
+
+[tool.uv]
+default-groups = ['dev']
+
+[tool.ruff]
+line-length = 120
+target-version = 'py311'
+
+[tool.ruff.lint]
+extend-select = ['Q', 'RUF100', 'C90', 'I']
+extend-ignore = []
+mccabe = { max-complexity = 14 }
+pydocstyle = { convention = 'google' }
+
+[tool.codespell]
+skip = '.git,*.pdf,*.svg,uv.lock'
+ignore-words-list = 'nd'
+
+[tool.pytest.ini_options]
+addopts = "--strict-markers --tb=short --cov=src --cov-report=term-missing --cov-fail-under=70"
+testpaths = ["tests"]
+python_files = ["test_*.py"]
+python_classes = ["Test*"]
+python_functions = ["test_*"]
+
+[project.scripts]
+mapper = "aind_behavior_dynamic_foraging_metadata_mapper.cli:main"
diff --git a/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/__init__.py b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/__init__.py
new file mode 100644
index 00000000..ca0ea40a
--- /dev/null
+++ b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/__init__.py
@@ -0,0 +1,7 @@
+from .acquisition import AindAcquisitionDataMapper
+from .instrument import AindInstrumentDataMapper
+
+__all__ = [
+    "AindAcquisitionDataMapper",
+    "AindInstrumentDataMapper",
+]
diff --git a/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/acquisition.py b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/acquisition.py
new file mode 100644
index 00000000..cbb6f33e
--- /dev/null
+++ b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/acquisition.py
@@ -0,0 +1,267 @@
+import logging
+import os
+import sys
+from datetime import datetime, timezone
+from decimal import Decimal
+from pathlib import Path
+from typing import List, Optional
+
+import git
+from aind_behavior_dynamic_foraging.data_contract import dataset as df_foraging_dataset
+from aind_behavior_dynamic_foraging.data_contract.utils import calculate_consumed_water
+from aind_behavior_dynamic_foraging.rig import AindDynamicForagingRig
+from aind_behavior_dynamic_foraging.task_logic import AindDynamicForagingTaskLogic
+from aind_behavior_services.rig import Device as AbsDevice
+from aind_behavior_services.rig import cameras as abs_camera
+from aind_behavior_services.rig import water_valve as abs_water_valve
+from aind_behavior_services.session import Session
+from aind_behavior_services.utils import get_fields_of_type, model_from_json_file, utcnow
+from aind_data_schema.components.configs import TriggerType
+from aind_data_schema.components.measurements import CalibrationFit, FitType, GenericModel, VolumeCalibration
+from aind_data_schema.core.acquisition import (
+    CALIBRATIONS,
+    Acquisition,
+    AcquisitionSubjectDetails,
+    Code,
+    DataStream,
+    DetectorConfig,
+    PerformanceMetrics,
+    StimulusEpoch,
+    StimulusModality,
+)
+from aind_data_schema_models import units
+from aind_data_schema_models.modalities import Modality
+from clabe.data_mapper import helpers as data_mapper_helpers
+from clabe.data_mapper.aind_data_schema import AindDataSchemaSessionDataMapper
+from pydantic import ValidationError
+
+logger = logging.getLogger(__name__)
+
+
+class AindAcquisitionDataMapper(AindDataSchemaSessionDataMapper):
+    def __init__(
+        self, data_path: os.PathLike, repository_path: os.PathLike, session_end_time: Optional[datetime] = None
+    ):
+        """
+        Class to create acquisition model for completed session.
+
+        Args:
+            data_path (os.PathLike):
+                Path to the directory containing the dataset to analyze. This
+                directory is expected to include all required behavioral data files.
+
+            repository_path (os.PathLike):
+                Path to github repository.
+
+            session_end_time: Optional[datetime]:
+                    End time of acquisition. If None, current time will be used.
+        """
+
+        self.data_path = data_path
+        self.repository_path = repository_path
+        self.session_end_time = session_end_time
+
+        self.session_model = model_from_json_file(
+            json_path=Path(self.data_path) / "behavior" / "Logs" / "session_output.json", model=Session
+        )
+        self._mapped: Optional[Acquisition] = None
+
+    def session_schema(self):
+        return self.mapped
+
+    @property
+    def session_name(self) -> str:
+        if self.session_model.session_name is None:
+            raise ValueError("Session name is not set in the session model.")
+        return self.session_model.session_name
+
+    def map(self) -> Acquisition:
+        logger.info("Mapping aind-data-schema Acquisition.")
+        try:
+            self._mapped = self._map()
+            return self._mapped
+        except (ValidationError, ValueError, IOError) as e:
+            logger.error("Failed to map to aind-data-schema Session. %s", e)
+            raise e
+
+    def _map(self) -> Acquisition:
+        """
+        Create acquisition model for completed session.
+
+        Returns:
+            Acquisition:
+                Acquisition model for session
+
+        Raises:
+            FileNotFoundError:
+                If the specified data directory or required files do not exist.
+
+            ValueError:
+                If the dataset is malformed or missing required fields for
+                computing metrics.
+        """
+        dataset = df_foraging_dataset(self.data_path)
+        input_schemas = dataset["Behavior"]["InputSchemas"]
+        session_model = Session.model_validate(input_schemas["Session"].data)
+        rig_model = AindDynamicForagingRig.model_validate(input_schemas["Rig"].data)
+        task_logic_model = AindDynamicForagingTaskLogic.model_validate(input_schemas["TaskLogic"].data)
+        repository = git.Repo(self.repository_path)
+
+        if self.session_end_time is None:
+            logger.warning("Session end time is not set. Using current time as end time.")
+            acquisition_end_time = datetime.now(tz=timezone.utc)
+
+        bonsai_code = _get_bonsai_as_code(repository)
+        python_code = _get_python_as_code(repository)
+
+        cameras = data_mapper_helpers.get_cameras(rig_model, exclude_without_video_writer=True)
+        camera_configs = [_get_camera_config(k, v, repository) for k, v in cameras.items()]
+
+        # construct data stream
+        modalities: list[Modality.ONE_OF] = [getattr(Modality, "BEHAVIOR")]
+        if len(camera_configs) > 0:
+            modalities.append(getattr(Modality, "BEHAVIOR_VIDEOS"))
+        modalities = list(set(modalities))
+
+        active_devices = [
+            _device[0]
+            for _device in get_fields_of_type(rig_model, AbsDevice, stop_recursion_on_type=False)
+            if _device[0] is not None and not isinstance(_device[1], abs_camera.CameraController)
+        ]
+
+        data_streams = [
+            DataStream(
+                stream_start_time=session_model.date,
+                stream_end_time=acquisition_end_time,
+                code=[bonsai_code, python_code],
+                active_devices=active_devices,
+                modalities=modalities,
+                configurations=camera_configs,
+                notes=session_model.notes,
+            )
+        ]
+
+        # populate behavior epoch
+        metrics = dataset["Behavior"]["Metrics"].data
+        trainer_state = dataset["Behavior"]["TrainerState"].data
+        trial_outcomes = dataset["Behavior"]["SoftwareEvents"]["TrialOutcome"].data["data"].iloc
+        rewarded = sum(to["is_rewarded"] for to in trial_outcomes if to["trial"]["is_auto_response_right"] is None)
+        water = calculate_consumed_water(self.data_path)
+        performance_metrics = PerformanceMetrics(
+            reward_consumed_during_epoch=None if not water else Decimal(str(water)),
+            reward_consumed_unit=units.VolumeUnit.ML,
+            trials_total=trial_outcomes[:].shape[0],
+            trials_finished=metrics.unignored_trials_per_session[-1],
+            trials_rewarded=rewarded,
+            output_parameters=metrics.model_dump(),
+        )
+
+        stimulus_epoch = StimulusEpoch(
+            stimulus_start_time=session_model.date,
+            stimulus_end_time=acquisition_end_time,
+            stimulus_name="GoCue",
+            code=bonsai_code,
+            stimulus_modalities=[StimulusModality.AUDITORY],
+            performance_metrics=performance_metrics,
+            curriculum_status=trainer_state.stage.name,
+        )
+
+        # Construct aind-data-schema session
+        return Acquisition(
+            subject_id=session_model.subject,
+            subject_details=_get_subject_details(self.data_path),
+            instrument_id=rig_model.rig_name,
+            acquisition_end_time=acquisition_end_time,
+            acquisition_start_time=session_model.date,
+            experimenters=session_model.experimenter,
+            acquisition_type=session_model.experiment or task_logic_model.name,
+            coordinate_system=None,
+            data_streams=data_streams,
+            calibrations=_get_water_calibration(rig_model),
+            stimulus_epochs=[stimulus_epoch],
+        )
+
+
+def _get_subject_details(data_path: os.PathLike) -> AcquisitionSubjectDetails:
+    water = calculate_consumed_water(data_path)
+    return AcquisitionSubjectDetails(
+        mouse_platform_name="tube",
+        reward_consumed_total=None if not water else Decimal(str(water)),
+        reward_consumed_unit=units.VolumeUnit.ML,
+    )
+
+
+def _get_water_calibration(rig_model: AindDynamicForagingRig) -> List[CALIBRATIONS]:
+
+    water_calibrations = get_fields_of_type(rig_model, abs_water_valve.WaterValveCalibration)
+    vol_cal = []
+    for device_name, wc in water_calibrations:
+        if device_name and wc.interval_average:
+            vol_cal.append(
+                VolumeCalibration(
+                    device_name=device_name,
+                    calibration_date=wc.date if wc.date else utcnow(),
+                    input=list(wc.interval_average.keys()),
+                    output=list(wc.interval_average.values()),
+                    input_unit=units.TimeUnit.S,
+                    output_unit=units.VolumeUnit.ML,
+                    fit=CalibrationFit(
+                        fit_type=FitType.LINEAR,
+                        fit_parameters=GenericModel.model_validate(wc.model_dump()),
+                    ),
+                )
+            )
+    return vol_cal
+
+
+def _get_camera_config(name: str, camera: abs_camera.CameraTypes, repository: git.Repo) -> DetectorConfig:
+
+    if isinstance(camera.video_writer, abs_camera.VideoWriterFfmpeg):
+        compression = Code(
+            url="https://ffmpeg.org/",
+            name="FFMPEG",
+            parameters=GenericModel.model_validate(camera.video_writer.model_dump()),
+        )
+    elif isinstance(camera.video_writer, abs_camera.VideoWriterOpenCv):
+        bonsai = _get_bonsai_as_code(repository)
+        bonsai.parameters = GenericModel.model_validate(camera.video_writer.model_dump())
+        compression = bonsai
+    else:
+        raise ValueError("Camera does not have a valid video writer configured.")
+
+    return DetectorConfig(
+        device_name=name,
+        exposure_time=getattr(camera, "exposure", -1),
+        exposure_time_unit=units.TimeUnit.US,
+        trigger_type=TriggerType.EXTERNAL,
+        compression=compression,
+    )
+
+
+def _get_bonsai_as_code(repository: git.Repo) -> Code:
+    bonsai_folder = Path(Path(repository.working_tree_dir) / ".bonsai" / "bonsai.exe").parent
+    bonsai_env = data_mapper_helpers.snapshot_bonsai_environment(bonsai_folder / "bonsai.config")
+    bonsai_version = bonsai_env.get("Bonsai", "unknown")
+    assert isinstance(repository, git.Repo)
+
+    return Code(
+        url=repository.remote().url,
+        name="Aind.Behavior.DynamicForaging",
+        version=repository.head.commit.hexsha,
+        language="Bonsai",
+        language_version=bonsai_version,
+    )
+
+
+def _get_python_as_code(repository: git.Repo) -> Code:
+    v = sys.version_info
+    semver = f"{v.major}.{v.minor}.{v.micro}"
+    if v.releaselevel != "final":
+        semver += f"-{v.releaselevel}.{v.serial}"
+    return Code(
+        url=repository.remote().url,
+        name="aind-behavior-dynamic-foraging",
+        version=repository.head.commit.hexsha,
+        language="Python",
+        language_version=semver,
+    )
diff --git a/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/cli.py b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/cli.py
new file mode 100644
index 00000000..4cbb8acb
--- /dev/null
+++ b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/cli.py
@@ -0,0 +1,55 @@
+import logging
+import os
+import typing as t
+from pathlib import Path
+
+from pydantic import AwareDatetime, Field
+from pydantic_settings import BaseSettings, CliApp
+
+logger = logging.getLogger(__name__)
+
+
+class DataMapperCli(BaseSettings, cli_kebab_case=True):
+    data_path: os.PathLike = Field(description="Path to the session data directory.")
+    repository_path: os.PathLike = Field(
+        default=Path("."), description="Path to the repository. By default it will use the current directory."
+    )
+    session_end_time: AwareDatetime | None = Field(
+        default=None,
+        description="End time of the session in ISO format. If not provided, will use the time the data mapping is run.",
+    )
+    suffix: t.Optional[str] = Field(default="", description="Suffix to append to the output filenames.")
+
+    def cli_cmd(self):
+        """Generate aind-data-schema metadata for the Dynamic Foraging dataset located at the specified path."""
+        from .acquisition import AindAcquisitionDataMapper
+        from .instrument import AindInstrumentDataMapper
+
+        session_mapper = AindAcquisitionDataMapper(
+            data_path=Path(self.data_path),
+            repository_path=Path(self.repository_path),
+            session_end_time=self.session_end_time,
+        )
+        acquisition = session_mapper.map()
+
+        rig_mapper = AindInstrumentDataMapper(data_path=Path(self.data_path))
+        instrument = rig_mapper.map()
+
+        assert session_mapper.mapped is not None
+        assert rig_mapper.mapped is not None
+
+        acquisition.write_standard_file(output_directory=Path(self.data_path), filename_suffix=self.suffix)
+        instrument.write_standard_file(output_directory=Path(self.data_path), filename_suffix=self.suffix)
+
+        logger.info(
+            "Mapping completed! Saved acquisition.json, instrument.json to %s",
+            self.data_path,
+        )
+
+
+def main():
+    CliApp.run(DataMapperCli)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/instrument.py b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/instrument.py
new file mode 100644
index 00000000..c5b6036d
--- /dev/null
+++ b/workspace/aind_behavior_dynamic_foraging_metadata_mapper/src/aind_behavior_dynamic_foraging_metadata_mapper/instrument.py
@@ -0,0 +1,278 @@
+import logging
+import os
+from datetime import date
+from decimal import Decimal
+from pathlib import Path
+
+from aind_behavior_dynamic_foraging.data_contract import dataset as df_foraging_dataset
+from aind_behavior_dynamic_foraging.rig import AindDynamicForagingRig
+from aind_behavior_services.rig import water_valve as abs_water_valve
+from aind_behavior_services.utils import get_fields_of_type, utcnow
+from aind_data_schema.components.connections import Connection
+from aind_data_schema.components.coordinates import Axis, AxisName, CoordinateSystem, Direction, Origin
+from aind_data_schema.components.devices import (
+    AnatomicalRelative,
+    Camera,
+    CameraAssembly,
+    CameraChroma,
+    CameraTarget,
+    Cooling,
+    DataInterface,
+    HarpDevice,
+    HarpDeviceType,
+    Lens,
+    MotorizedStage,
+    SizeUnit,
+)
+from aind_data_schema.components.measurements import CalibrationFit, FitType, GenericModel, VolumeCalibration
+from aind_data_schema.core.acquisition import CALIBRATIONS
+from aind_data_schema.core.instrument import Instrument
+from aind_data_schema_models.modalities import Modality
+from aind_data_schema_models.organizations import Organization
+from aind_data_schema_models.units import FrequencyUnit, TimeUnit, VolumeUnit
+from clabe.data_mapper.aind_data_schema import AindDataSchemaRigDataMapper
+
+logger = logging.getLogger(__name__)
+
+
+class AindInstrumentDataMapper(AindDataSchemaRigDataMapper):
+    def __init__(
+        self,
+        data_path: os.PathLike,
+    ):
+        """
+        Create Instrument model for completed session.
+
+        Args:
+            data_directory (os.PathLike):
+                Path to the directory containing the dataset to analyze. This
+                directory is expected to include all required behavioral data files.
+        """
+
+        super().__init__()
+        self._data_path = Path(data_path)
+
+    @staticmethod
+    def _get_water_calibration(rig_model: AindDynamicForagingRig) -> list[CALIBRATIONS]:
+
+        water_calibrations = get_fields_of_type(rig_model, abs_water_valve.WaterValveCalibration)
+        vol_cal = []
+        for device_name, wc in water_calibrations:
+            if device_name and wc.interval_average:
+                vol_cal.append(
+                    VolumeCalibration(
+                        device_name=device_name,
+                        calibration_date=wc.date if wc.date else utcnow(),
+                        input=list(wc.interval_average.keys()),
+                        output=list(wc.interval_average.values()),
+                        input_unit=TimeUnit.S,
+                        output_unit=VolumeUnit.ML,
+                        fit=CalibrationFit(
+                            fit_type=FitType.LINEAR,
+                            fit_parameters=GenericModel.model_validate(wc.model_dump()),
+                        ),
+                    )
+                )
+        return vol_cal
+
+    def rig_schema(self):
+        return self.mapped
+
+    @property
+    def session_name(self):
+        raise NotImplementedError("Method not implemented.")
+
+    def map(self) -> Instrument:
+        logger.info("Mapping aind-data-schema Instrument.")
+        self._mapped = self._map()
+        return self.mapped
+
+    def _map(self) -> Instrument:
+        """
+        Create Instrument model for completed session.
+
+        Returns:
+            Instrument:
+                Instrument model for session
+
+        Raises:
+            FileNotFoundError:
+                If the specified data directory or required files do not exist.
+
+            ValueError:
+                If the dataset is malformed or missing required fields for
+                computing metrics.
+        """
+
+        dataset = df_foraging_dataset(self._data_path)
+        input_schemas = dataset["Behavior"]["InputSchemas"]
+        rig = AindDynamicForagingRig.model_validate(input_schemas["Rig"].data)
+
+        components = []
+        connections = []
+
+        # cameras
+        controller = rig.triggered_camera_controller
+        fps = float(controller.frame_rate) if controller.frame_rate else float("nan")
+        for name, cam in rig.triggered_camera_controller.cameras.items():
+            camera = Camera(
+                name=name,
+                manufacturer=Organization.FLIR,
+                chroma=CameraChroma.BW,
+                cooling=Cooling.NO_COOLING,
+                data_interface=DataInterface.USB,
+                sensor_format="1/2.9",
+                sensor_format_unit=SizeUnit.IN,
+                sensor_width=720,
+                sensor_height=540,
+                model="Blackfly S BFS-U3-04S2M",
+                frame_rate=Decimal(str(fps)),
+                frame_rate_unit=FrequencyUnit.HZ,
+                gain=Decimal(str(cam.gain) if cam.gain is not None else "0"),
+                serial_number=cam.serial_number,
+                crop_offset_x=cam.region_of_interest.x if cam.region_of_interest.x > 0 else None,
+                crop_offset_y=cam.region_of_interest.y if cam.region_of_interest.y > 0 else None,
+                crop_width=cam.region_of_interest.width if cam.region_of_interest.width > 0 else None,
+                crop_height=cam.region_of_interest.height if cam.region_of_interest.height > 0 else None,
+                crop_unit=SizeUnit.PX,
+                additional_settings=GenericModel.model_validate(cam.model_dump()),
+            )
+            assembly = CameraAssembly(
+                name=f"{name}Assembly",
+                camera=camera,
+                target=CameraTarget.BODY if "Body" in name else CameraTarget.FACE,
+                lens=Lens(name="Lens A", manufacturer=Organization.FUJINON),
+                relative_position=[AnatomicalRelative.RIGHT if "Body" in name else AnatomicalRelative.SUPERIOR],
+            )
+            components.append(assembly)
+
+        # behavior board
+        behavior_board = dataset["Behavior"]["HarpBehavior"].load()
+        components.append(
+            HarpDevice(
+                name="BehaviorBoard",
+                harp_device_type=HarpDeviceType.BEHAVIOR,
+                serial_number=rig.harp_behavior.serial_number,
+                manufacturer=Organization.CHAMPALIMAUD,
+                is_clock_generator=False,
+                firmware_version=behavior_board.device_reader.device.firmwareVersion,
+                hardware_version=behavior_board.device_reader.device.hardwareTargets,
+            )
+        )
+
+        # clock generator
+        clock_generator = dataset["Behavior"]["HarpClockGenerator"].load()
+        components.append(
+            HarpDevice(
+                name="ClockGenerator",
+                harp_device_type=HarpDeviceType.WHITERABBIT,
+                serial_number=rig.harp_clock_generator.serial_number,
+                is_clock_generator=True,
+                firmware_version=clock_generator.device_reader.device.firmwareVersion,
+                hardware_version=clock_generator.device_reader.device.hardwareTargets,
+            )
+        )
+
+        # sound card
+        sound_card = dataset["Behavior"]["HarpSoundCard"].load()
+        components.append(
+            HarpDevice(
+                name="SoundCard",
+                harp_device_type=HarpDeviceType.SOUNDCARD,
+                serial_number=rig.harp_sound_card.serial_number,
+                manufacturer=Organization.CHAMPALIMAUD,
+                is_clock_generator=False,
+                firmware_version=sound_card.device_reader.device.firmwareVersion,
+                hardware_version=sound_card.device_reader.device.hardwareTargets,
+            )
+        )
+
+        # optional harp devices
+        if rig.harp_lickometer_left:
+            left = dataset["Behavior"]["HarpLickometerLeft"].load()
+            components.append(
+                HarpDevice(
+                    name="LickometerLeft",
+                    harp_device_type=HarpDeviceType.LICKETYSPLIT,
+                    serial_number=rig.harp_lickometer_left.serial_number,
+                    is_clock_generator=False,
+                    firmware_version=left.device_reader.device.firmwareVersion,
+                    hardware_version=left.device_reader.device.hardwareTargets,
+                )
+            )
+        if rig.harp_lickometer_right:
+            right = dataset["Behavior"]["HarpLickometerRight"].load()
+            components.append(
+                HarpDevice(
+                    name="LickometerRight",
+                    serial_number=rig.harp_lickometer_right.serial_number,
+                    harp_device_type=HarpDeviceType.LICKETYSPLIT,
+                    is_clock_generator=False,
+                    firmware_version=right.device_reader.device.firmwareVersion,
+                    hardware_version=right.device_reader.device.hardwareTargets,
+                )
+            )
+        if rig.harp_sniff_detector:
+            sniff = dataset["Behavior"]["HarpSniffDetector"].load()
+            components.append(
+                HarpDevice(
+                    name="SniffDetector",
+                    harp_device_type=HarpDeviceType.SNIFFDETECTOR,
+                    serial_number=rig.harp_sniff_detector.serial_number,
+                    is_clock_generator=False,
+                    firmware_version=sniff.device_reader.device.firmwareVersion,
+                    hardware_version=sniff.device_reader.device.hardwareTargets,
+                )
+            )
+        if rig.harp_environment_sensor:
+            env_sen = dataset["Behavior"]["HarpEnvironmentSensor"].load()
+            components.append(
+                HarpDevice(
+                    name="EnvironmentSensor",
+                    harp_device_type=HarpDeviceType.ENVIRONMENTSENSOR,
+                    serial_number=rig.harp_environment_sensor.serial_number,
+                    is_clock_generator=False,
+                    firmware_version=env_sen.device_reader.device.firmwareVersion,
+                    hardware_version=env_sen.device_reader.device.hardwareTargets,
+                )
+            )
+
+        # manipulator\
+        components.append(
+            MotorizedStage(
+                name="motorized_stage",
+                manufacturer=Organization.AIND,
+                model="328-300-00",
+                travel=Decimal("30"),
+                travel_unit=SizeUnit.CM,
+                notes="This stage is driven by the manipulator device.",
+            )
+        )
+
+        # connections
+        for name in rig.triggered_camera_controller.cameras:
+            connections.append(
+                Connection(
+                    source_device="BehaviorBoard",
+                    target_device=name,
+                )
+            )
+
+        return Instrument(
+            instrument_id=rig.rig_name,
+            modification_date=date.today(),
+            modalities=[Modality.BEHAVIOR, Modality.BEHAVIOR_VIDEOS],
+            coordinate_system=CoordinateSystem(
+                name="RigCoordinateSystem",
+                origin=Origin.ORIGIN,
+                axes=[
+                    Axis(name=AxisName.X, direction=Direction.LR),
+                    Axis(name=AxisName.Y, direction=Direction.FB),
+                    Axis(name=AxisName.Z, direction=Direction.DU),
+                ],
+                axis_unit=SizeUnit.MM,
+            ),
+            components=components,
+            connections=connections,
+            calibrations=self._get_water_calibration(rig),
+        )