Gemseo support

.github/workflows/tests.yaml

@@ -21,7 +21,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12"]
 
     steps:
     - uses: actions/checkout@main
@@ -34,7 +34,7 @@ jobs:
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
-        pip install flake8 coverage[toml] grpcio grpcio-tools protoletariat numpy scipy openmdao
+        pip install flake8 coverage[toml] grpcio grpcio-tools protoletariat numpy scipy openmdao gemseo
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
         sudo apt install -y protobuf-compiler
     - name: Install Package

CHANGELOG.md

@@ -54,6 +54,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   twice for an implicit output, which is quadratic in the number of dynamic
   variables.  Both now index the metadata by type and name once.  Applying
   shapes to 1,000 dynamic variables drops from 922 ms to 120 ms.
+- Added a GEMSEO interface (`philote_mdo.gemseo`) allowing GEMSEO
+  disciplines to be called from Philote-MDO, and Philote-MDO disciplines
+  (local or remote, e.g. served from OpenMDAO) to be called from GEMSEO.
+- Added examples and tutorials demonstrating interoperability between
+  GEMSEO, OpenMDAO and OpenAeroStruct through Philote-MDO.
 
 ### Bug Fixes
 
@@ -121,9 +126,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   removes redundant work inside `compute_totals` on every gradient call.
   Results were already correct, since the totals are indexed by the
   `(of, wrt)` pair rather than by position (#80).
+- Fixed the compilation of the proto files on Windows.
 
 ### Documentation & Infrastructure
 
+- Dropped support for Python 3.9, which reached end of life in October
+  2025. `requires-python` is now `>=3.10`, and CI no longer tests 3.9.
+  GEMSEO 6.3 requires Python 3.10, so the 3.9 job was the only one
+  testing an older GEMSEO (6.2); the latest `grpcio`, `protobuf` and
+  OpenMDAO also require 3.10 or later.
 - Updated the documentation site's dependencies to clear known npm
   advisories, taking the audit from 42 findings (2 critical, 26 high) to 17
   (all high).  `npm audit fix` resolved the `webpack-dev-server`, `sockjs`,

CLAUDE.md

@@ -7,7 +7,7 @@ Philote-Python is the reference Python implementation of the Philote-MDO standar
 ## Build System
 
 ### Requirements
-- Python 3.9 - 3.12
+- Python 3.10 - 3.12
 - `numpy`, `scipy`, `grpcio`, `protobuf` (installed automatically)
 - `openmdao` (only for the OpenMDAO bindings and integration tests)
 
@@ -51,7 +51,7 @@ docs/               # Docusaurus documentation site (see docs/README.md)
 ## CI/CD
 
 ### Tests workflow (`.github/workflows/tests.yaml`)
-Runs `pytest` against Python 3.9 / 3.10 / 3.11 / 3.12 on every push to `main`, `develop`, `release/*`, `support/*`, and on PRs into `main` / `develop`.
+Runs `pytest` against Python 3.10 / 3.11 / 3.12 on every push to `main`, `develop`, `release/*`, `support/*`, and on PRs into `main` / `develop`.
 
 ### Documentation workflow (`.github/workflows/documentation.yaml`)
 Builds the Docusaurus site under `docs/` and deploys it to GitHub Pages whenever `docs/**` changes on `develop`. Uses the GitHub Pages artifact pipeline (`actions/configure-pages` + `upload-pages-artifact` + `deploy-pages`).

README.md

@@ -41,6 +41,7 @@ installed automatically during the installation process:
 To run the unit and integration tests, you will need:
 
 - openmdao (can be found [here](https://github.com/OpenMDAO/OpenMDAO) or installed via pip)
+- gemseo (can be found [here](https://gitlab.com/gemseo/dev/gemseo) or installed via pip)
 
 ## Installation
 

docs/docs/gemseo/gemseo-openaerostruct.md

@@ -0,0 +1,211 @@
+---
+sidebar_position: 2
+title: "Coupling OpenAeroStruct and GEMSEO"
+---
+
+# Coupling OpenAeroStruct and GEMSEO through Philote-MDO
+
+This tutorial builds on [Using GEMSEO with Philote-MDO](./gemseo.md) and
+walks through
+[`examples/openaerostruct_to_gemseo.py`](https://github.com/MDO-Standards/Philote-Python/blob/main/examples/openaerostruct_to_gemseo.py),
+a more realistic case: instead of a toy analytic function, the remote
+discipline is an [OpenAeroStruct](https://github.com/mdolab/OpenAeroStruct)
+aerostructural analysis -- a coupled VLM aerodynamic model and a
+finite-element structural model, solved together with an OpenMDAO
+nonlinear solver -- and it is optimized with a gradient-based algorithm.
+
+This example additionally requires OpenMDAO, OpenAeroStruct and the
+[`philote-examples`](https://pypi.org/project/philote-examples/) package,
+version 0.5.1 or later
+(`pip install openaerostruct "philote-examples>=0.5.1"`), which provides
+the `OasAerostructDiscipline` used below. Earlier versions of
+`philote-examples` do not declare the partial derivatives this tutorial
+relies on.
+
+## Why this matters: hiding an OpenMDAO MDA behind a Philote-MDO discipline
+
+OpenAeroStruct is written for [OpenMDAO](https://openmdao.org): the
+`philote-examples` package provides `OasAerostructDiscipline`, which
+builds an OpenMDAO `Group` combining `AerostructGeometry` and
+`AerostructPoint` for a wing, resolves the aero-structural coupling
+internally with `NonlinearBlockGS`, and wraps the whole `om.Problem` as a
+**single Philote-MDO explicit discipline**.
+
+This is the key interoperability point: from the Philote-MDO (and
+therefore GEMSEO) side, this coupled, iterative OpenMDAO analysis is
+completely invisible. `PhiloteDiscipline` only ever sees a stateless
+function `inputs -> outputs` plus a Jacobian -- exactly like the
+`Paraboloid` discipline of the [previous tutorial](./gemseo.md). GEMSEO
+does not need OpenMDAO, OpenAeroStruct, or any of their dependencies
+installed: it only talks gRPC to a server that happens to run them.
+
+```mermaid
+flowchart LR
+    subgraph GEMSEO_process["GEMSEO process"]
+        PD["PhiloteDiscipline"]
+        SC["MDOScenario<br/>(SLSQP)"]
+        SC --> PD
+    end
+    subgraph Server_process["Server process"]
+        OAS["OasAerostructDiscipline<br/>(Philote explicit discipline)"]
+        subgraph OM["OpenMDAO Problem"]
+            VLM["VLM aerodynamics"]
+            FEM["FEM structure"]
+            VLM <-->|"NonlinearBlockGS"| FEM
+        end
+        OAS --> OM
+    end
+    PD <-- "gRPC: alpha -> CL, CD, ...<br/>+ Jacobian" --> OAS
+```
+
+## A gradient-based scenario is limited to what the server differentiates
+
+`OasAerostructDiscipline` only declares two partial derivatives on the
+server side (in its `_build_discipline` method):
+
+```python
+self.declare_subproblem_partial("CD", "alpha")
+self.declare_subproblem_partial("CL", "alpha")
+```
+
+Only declared partials are computed and sent to the client: a
+gradient-based GEMSEO scenario can therefore only use `alpha` as a design
+variable, and `CL`/`CD` as objective/constraint candidates -- using any
+other input as a design variable, or any other output as an objective or
+constraint, would make GEMSEO request a Jacobian entry the server never
+computes.
+
+This shapes the scenario: **trim the wing** by finding the angle of
+attack `alpha` that **minimizes drag** `CD` while holding the **lift
+coefficient** `CL` at a target value, a classic aerostructural design
+problem.
+
+## Walkthrough
+
+### Fixing the non-design inputs
+
+The Philote-MDO protocol only transfers variable names, shapes and units
+over gRPC -- not GEMSEO's default values. Since `alpha` is the only
+design variable, every other input of the discipline (flight conditions
+and mission parameters) must be given a value explicitly, or GEMSEO would
+have no default to execute the discipline with. This is done once, by
+updating the connected discipline's `default_input_data`:
+
+```python
+FIXED_INPUTS = {
+    "v": array([248.136]),
+    "Mach_number": array([0.84]),
+    "re": array([1e6]),
+    "rho": array([0.38]),
+    "CT": array([grav_constant * 17.0e-6]),
+    "R": array([11.165e6]),
+    "W0": array([0.4 * 3e5]),
+    "speed_of_sound": array([295.4]),
+    "load_factor": array([1.0]),
+    "empty_cg": np.zeros(3),
+}
+
+
+def create_discipline(server: grpc.Server) -> PhiloteDiscipline:
+    discipline = pmdo.ExplicitServer(discipline=OasAerostructDiscipline())
+    discipline.attach_to_server(server)
+    oas_discipline = PhiloteDiscipline(channel=grpc.insecure_channel(f"{HOST}:{PORT}"))
+    oas_discipline.default_input_data.update(FIXED_INPUTS)
+    return oas_discipline
+```
+
+:::note
+This is not specific to GEMSEO: any Philote-MDO client that does not set
+a value for a non-design input runs into the same issue. The
+[Sellar example](https://github.com/MDO-Standards/Philote-Python/blob/main/examples/sellar_gemseo_to_openmdao.py),
+which drives remote *GEMSEO* disciplines from *OpenMDAO*, sets its fixed
+parameters explicitly with `prob.set_val(...)` for the exact same reason.
+:::
+
+### Serving the discipline
+
+As in the previous tutorial, serving the discipline only requires
+starting a gRPC server and attaching an `ExplicitServer` wrapping it:
+
+```python
+def create_server() -> grpc.Server:
+    server = grpc.server(futures.ThreadPoolExecutor(max_workers=1))
+    server.add_insecure_port(f"[::]:{PORT}")
+    server.start()
+    return server
+```
+
+### Building and running the scenario
+
+The design space has a single variable, `alpha` (in degrees); the
+scenario minimizes `CD` under the equality constraint `CL = 0.5`, using
+the gradient-based `SLSQP` algorithm -- made possible because the server
+provides the `CL`/`CD` derivatives with respect to `alpha` analytically:
+
+```python
+if __name__ == "__main__":
+    server = create_server()
+
+    try:
+        oas_disc = create_discipline(server)
+
+        design_space = create_design_space()
+        # alpha is in degrees, as declared by OasAerostructDiscipline.
+        design_space.add_variable(
+            "alpha", lower_bound=-10.0, upper_bound=15.0, value=5.0
+        )
+
+        scenario = create_scenario(
+            [oas_disc],
+            objective_name="CD",
+            design_space=design_space,
+            formulation_settings_model=DisciplinaryOpt_Settings(),
+        )
+        # Trim the wing: CL = 0.5
+        scenario.add_constraint("CL", constraint_type="eq", value=0.5)
+        scenario.execute(algo_settings_model=SLSQP_Settings(max_iter=20))
+
+        out = oas_disc.local_data
+        print(
+            "Trimmed solution:",
+            {name: out[name] for name in ("alpha", "CL", "CD", "failure")},
+        )
+        execute_post(scenario, OptHistoryView_Settings(save=True, show=False))
+
+    finally:
+        # Stop the server explicitly:
+        # its worker threads would otherwise keep the process alive.
+        server.stop(0)
+```
+
+Running the script converges in a handful of iterations and prints:
+
+```text
+Trimmed solution: {
+    'alpha': array([4.07490213]),
+    'CL': array([0.5]),
+    'CD': array([0.03553854]),
+    'failure': array([-0.91249284]),
+}
+```
+
+`CL` reaches the target `0.5` exactly (the equality constraint fully
+determines `alpha` here, since there is a single design variable), and
+`failure` stays negative, meaning the structure remains within its
+allowable stress margin at the trimmed condition.
+
+## The full script
+
+See the actual, always up-to-date source at
+[`examples/openaerostruct_to_gemseo.py`](https://github.com/MDO-Standards/Philote-Python/blob/main/examples/openaerostruct_to_gemseo.py)
+in the repository.
+
+## Where to go next
+
+[`examples/sellar_gemseo_to_openmdao.py`](https://github.com/MDO-Standards/Philote-Python/blob/main/examples/sellar_gemseo_to_openmdao.py)
+shows the mirror image of this tutorial: instead of GEMSEO calling an
+OpenMDAO/OpenAeroStruct discipline, GEMSEO's own Sellar disciplines are
+served over gRPC with `GEMSEOtoPhiloteDiscipline` and optimized from an
+OpenMDAO model with SLSQP -- the same coupling pattern used here (an
+internal Gauss-Seidel solver resolving an algebraic loop behind the
+scenes), but with the two frameworks swapped.