diff --git a/.github/workflows/core_tests.yml b/.github/workflows/core_tests.yml index 4a840f735..99cbee6a5 100644 --- a/.github/workflows/core_tests.yml +++ b/.github/workflows/core_tests.yml @@ -31,7 +31,7 @@ jobs: pixi-version: "v0.3.0" cache: true - name: Prepare pixi - run: pixi run post-install-without-pre-commit + run: pixi run install-without-pre-commit - name: Prepare model input run: | pixi run generate-testmodels diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 566187765..07625fa9a 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -42,7 +42,7 @@ jobs: pixi-version: "v0.3.0" cache: true - name: Prepare pixi - run: pixi run post-install-without-pre-commit + run: pixi run install-without-pre-commit - name: Check Quarto installation and all engines run: pixi run quarto-check diff --git a/.github/workflows/python_lint.yml b/.github/workflows/python_lint.yml index eed8c083b..c2c831dc3 100644 --- a/.github/workflows/python_lint.yml +++ b/.github/workflows/python_lint.yml @@ -21,7 +21,7 @@ jobs: pixi-version: "latest" cache: true - name: Prepare pixi - run: pixi run post-install-without-pre-commit + run: pixi run install-without-pre-commit - name: Run mypy on python/ribasim run: | pixi run mypy-ribasim-python diff --git a/.github/workflows/python_tests.yml b/.github/workflows/python_tests.yml index d7ecbf0b0..21cd31556 100644 --- a/.github/workflows/python_tests.yml +++ b/.github/workflows/python_tests.yml @@ -34,7 +34,7 @@ jobs: pixi-version: "v0.3.0" cache: true - name: Prepare pixi - run: pixi run post-install-without-pre-commit + run: pixi run install-without-pre-commit - name: Run tests run: pixi run test-ribasim-python-cov diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 3ca7d3efd..38c658ddc 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -14,12 +14,12 @@ repos: exclude: '.teamcity' - id: trailing-whitespace - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.0.286 + rev: v0.0.291 hooks: - id: ruff args: [--fix, --exit-non-zero-on-fix] - repo: https://github.com/psf/black - rev: 23.7.0 + rev: 23.9.1 hooks: - id: black - id: black-jupyter @@ -28,6 +28,6 @@ repos: hooks: - id: nbstripout - repo: https://github.com/crate-ci/typos - rev: v1.16.8 + rev: v1.16.15 hooks: - id: typos diff --git a/.teamcity/Ribasim_Ribasim/buildTypes/Ribasim_Ribasim_TestRibasimCliWindows.xml b/.teamcity/Ribasim_Ribasim/buildTypes/Ribasim_Ribasim_TestRibasimCliWindows.xml index 1e10017c2..5dca56273 100644 --- a/.teamcity/Ribasim_Ribasim/buildTypes/Ribasim_Ribasim_TestRibasimCliWindows.xml +++ b/.teamcity/Ribasim_Ribasim/buildTypes/Ribasim_Ribasim_TestRibasimCliWindows.xml @@ -15,8 +15,7 @@ - + @@ -84,4 +83,3 @@ pip install --no-deps "python/ribasim_testmodels"]]> - diff --git a/core/src/solve.jl b/core/src/solve.jl index 5dfb64427..fa62f3582 100644 --- a/core/src/solve.jl +++ b/core/src/solve.jl @@ -411,7 +411,7 @@ return_factor: the factor in [0,1] of how much of the abstracted water is given min_level: The level of the source basin below which the user does not abstract priority: integer > 0, the lower the number the higher the priority of the users demand """ -struct User +struct User <: AbstractParameterNode node_id::Vector{Int} active::BitVector demand::Vector{ScalarInterpolation} @@ -506,13 +506,11 @@ function valid_n_neighbors( return !errors end -function set_current_basin_properties!( - basin::Basin, - current_area, - current_level, - storage::AbstractVector, - t::Float64, -)::Nothing +function set_current_basin_properties!(basin::Basin, storage::AbstractVector)::Nothing + (; current_level, current_area) = basin + current_level = get_tmp(current_level, storage) + current_area = get_tmp(current_area, storage) + for i in eachindex(storage) s = storage[i] area, level = get_area_and_level(basin, i, s) @@ -526,14 +524,11 @@ end Smoothly let the evaporation flux go to 0 when at small water depths Currently at less than 0.1 m. """ -function formulate!( - du::AbstractVector, - basin::Basin, - storage::AbstractVector, - current_area::AbstractVector, - current_level::AbstractVector, - t::Float64, -)::Nothing +function formulate!(du::AbstractVector, basin::Basin, storage::AbstractVector)::Nothing + (; current_level, current_area) = basin + current_level = get_tmp(current_level, storage) + current_area = get_tmp(current_area, storage) + for i in eachindex(storage) # add all precipitation that falls within the profile level = current_level[i] @@ -554,34 +549,26 @@ function formulate!( return nothing end -function get_error!( - pid_control::PidControl, - p::Parameters, - current_level, - pid_error, - t::Float64, -) +function set_error!(pid_control::PidControl, p::Parameters, u::ComponentVector, t::Float64) (; basin) = p - (; listen_node_id, target) = pid_control + (; listen_node_id, target, error) = pid_control + error = get_tmp(error, u) + current_level = get_tmp(basin.current_level, u) for i in eachindex(listen_node_id) listened_node_id = listen_node_id[i] has_index, listened_node_idx = id_index(basin.node_id, listened_node_id) @assert has_index "Listen node $listened_node_id is not a Basin." - pid_error[i] = target[i](t) - current_level[listened_node_idx] + error[i] = target[i](t) - current_level[listened_node_idx] end end function continuous_control!( u::ComponentVector, du::ComponentVector, - current_area::AbstractVector, pid_control::PidControl, p::Parameters, integral_value::SubArray, - current_level::AbstractVector, - flow::AbstractMatrix, - pid_error::AbstractVector, t::Float64, )::Nothing (; connectivity, pump, outlet, basin, fractional_flow) = p @@ -589,13 +576,18 @@ function continuous_control!( max_flow_rate_pump = pump.max_flow_rate min_flow_rate_outlet = outlet.min_flow_rate max_flow_rate_outlet = outlet.max_flow_rate - (; graph_control, graph_flow) = connectivity - (; node_id, active, target, pid_params, listen_node_id) = pid_control + (; graph_control, graph_flow, flow) = connectivity + (; node_id, active, target, pid_params, listen_node_id, error) = pid_control + (; current_area) = basin + current_area = get_tmp(current_area, u) + storage = u.storage + flow = get_tmp(flow, u) outlet_flow_rate = get_tmp(outlet.flow_rate, u) pump_flow_rate = get_tmp(pump.flow_rate, u) + error = get_tmp(error, u) - get_error!(pid_control, p, current_level, pid_error, t) + set_error!(pid_control, p, u, t) for (i, id) in enumerate(node_id) if !active[i] @@ -604,7 +596,7 @@ function continuous_control!( continue end - du.integral[i] = pid_error[i] + du.integral[i] = error[i] listened_node_id = listen_node_id[i] _, listened_node_idx = id_index(basin.node_id, listened_node_id) @@ -617,8 +609,8 @@ function continuous_control!( src_id = only(inneighbors(graph_flow, controlled_node_id)) dst_id = only(outneighbors(graph_flow, controlled_node_id)) - src_level = get_level(p, src_id, current_level, t) - dst_level = get_level(p, dst_id, current_level, t) + src_level = get_level(p, src_id, t; storage) + dst_level = get_level(p, dst_id, t; storage) if src_level === nothing || dst_level === nothing factor_outlet = 1.0 @@ -663,7 +655,7 @@ function continuous_control!( end if !iszero(K_p) - flow_rate += factor * K_p * pid_error[i] / D + flow_rate += factor * K_p * error[i] / D end if !iszero(K_i) @@ -741,15 +733,15 @@ end function formulate_flow!( user::User, p::Parameters, - flow::AbstractMatrix, - current_level::AbstractVector, storage::AbstractVector, t::Float64, )::Nothing (; connectivity, basin) = p - (; graph_flow) = connectivity + (; graph_flow, flow) = connectivity (; node_id, allocated, demand, active, return_factor, min_level) = user + flow = get_tmp(flow, storage) + for (i, id) in enumerate(node_id) src_id = only(inneighbors(graph_flow, id)) dst_id = only(outneighbors(graph_flow, id)) @@ -772,7 +764,7 @@ function formulate_flow!( # Smoothly let abstraction go to 0 as the source basin # level reaches its minimum level - source_level = get_level(p, src_id, current_level, t) + source_level = get_level(p, src_id, t; storage) Δsource_level = source_level - min_level[i] factor_level = reduction_factor(Δsource_level, 0.1) q *= factor_level @@ -791,13 +783,13 @@ Directed graph: outflow is positive! function formulate_flow!( linear_resistance::LinearResistance, p::Parameters, - current_level::AbstractVector, - flow::AbstractMatrix, + storage::AbstractVector, t::Float64, )::Nothing (; connectivity) = p - (; graph_flow) = connectivity + (; graph_flow, flow) = connectivity (; node_id, active, resistance) = linear_resistance + flow = get_tmp(flow, storage) for (i, id) in enumerate(node_id) basin_a_id = only(inneighbors(graph_flow, id)) basin_b_id = only(outneighbors(graph_flow, id)) @@ -805,8 +797,8 @@ function formulate_flow!( if active[i] q = ( - get_level(p, basin_a_id, current_level, t) - - get_level(p, basin_b_id, current_level, t) + get_level(p, basin_a_id, t; storage) - + get_level(p, basin_b_id, t; storage) ) / resistance[i] flow[basin_a_id, id] = q flow[id, basin_b_id] = q @@ -825,13 +817,12 @@ function formulate_flow!( tabulated_rating_curve::TabulatedRatingCurve, p::Parameters, storage::AbstractVector, - current_level::AbstractVector, - flow::AbstractMatrix, t::Float64, )::Nothing (; basin, connectivity) = p - (; graph_flow) = connectivity + (; graph_flow, flow) = connectivity (; node_id, active, tables) = tabulated_rating_curve + flow = get_tmp(flow, storage) for (i, id) in enumerate(node_id) upstream_basin_id = only(inneighbors(graph_flow, id)) downstream_ids = outneighbors(graph_flow, id) @@ -840,7 +831,7 @@ function formulate_flow!( hasindex, basin_idx = id_index(basin.node_id, upstream_basin_id) @assert hasindex "TabulatedRatingCurve must be downstream of a Basin" factor = reduction_factor(storage[basin_idx], 10.0) - q = factor * tables[i](get_level(p, upstream_basin_id, current_level, t)) + q = factor * tables[i](get_level(p, upstream_basin_id, t; storage)) else q = 0.0 end @@ -895,14 +886,14 @@ dry. function formulate_flow!( manning_resistance::ManningResistance, p::Parameters, - current_level::AbstractVector, - flow::AbstractMatrix, + storage::AbstractVector, t::Float64, )::Nothing (; basin, connectivity) = p - (; graph_flow) = connectivity + (; graph_flow, flow) = connectivity (; node_id, active, length, manning_n, profile_width, profile_slope) = manning_resistance + flow = get_tmp(flow, storage) for (i, id) in enumerate(node_id) basin_a_id = only(inneighbors(graph_flow, id)) basin_b_id = only(outneighbors(graph_flow, id)) @@ -913,8 +904,8 @@ function formulate_flow!( continue end - h_a = get_level(p, basin_a_id, current_level, t) - h_b = get_level(p, basin_b_id, current_level, t) + h_a = get_level(p, basin_a_id, t; storage) + h_b = get_level(p, basin_b_id, t; storage) bottom_a, bottom_b = basin_bottoms(basin, basin_a_id, basin_b_id, id) slope = profile_slope[i] width = profile_width[i] @@ -953,12 +944,15 @@ end function formulate_flow!( fractional_flow::FractionalFlow, - flow::AbstractMatrix, p::Parameters, + storage::AbstractVector, + t::Float64, )::Nothing (; connectivity) = p - (; graph_flow) = connectivity + (; graph_flow, flow) = connectivity (; node_id, fraction) = fractional_flow + flow = get_tmp(flow, storage) + for (i, id) in enumerate(node_id) downstream_id = only(outneighbors(graph_flow, id)) upstream_id = only(inneighbors(graph_flow, id)) @@ -970,12 +964,13 @@ end function formulate_flow!( flow_boundary::FlowBoundary, p::Parameters, - flow::AbstractMatrix, + storage::AbstractVector, t::Float64, )::Nothing (; connectivity) = p - (; graph_flow) = connectivity + (; graph_flow, flow) = connectivity (; node_id, active, flow_rate) = flow_boundary + flow = get_tmp(flow, storage) for (i, id) in enumerate(node_id) # Requirement: edge points away from the flow boundary @@ -996,12 +991,13 @@ end function formulate_flow!( pump::Pump, p::Parameters, - flow::AbstractMatrix, storage::AbstractVector, + t::Float64, )::Nothing (; connectivity, basin) = p - (; graph_flow) = connectivity + (; graph_flow, flow) = connectivity (; node_id, active, flow_rate, is_pid_controlled) = pump + flow = get_tmp(flow, storage) flow_rate = get_tmp(flow_rate, storage) for (id, isactive, rate, pid_controlled) in zip(node_id, active, flow_rate, is_pid_controlled) @@ -1032,14 +1028,13 @@ end function formulate_flow!( outlet::Outlet, p::Parameters, - flow::AbstractMatrix, - current_level::AbstractVector, storage::AbstractVector, t::Float64, )::Nothing (; connectivity, basin) = p - (; graph_flow) = connectivity + (; graph_flow, flow) = connectivity (; node_id, active, flow_rate, is_pid_controlled, min_crest_level) = outlet + flow = get_tmp(flow, storage) flow_rate = get_tmp(flow_rate, storage) for (i, id) in enumerate(node_id) src_id = only(inneighbors(graph_flow, id)) @@ -1061,8 +1056,8 @@ function formulate_flow!( end # No flow of outlet if source level is lower than target level - src_level = get_level(p, src_id, current_level, t) - dst_level = get_level(p, dst_id, current_level, t) + src_level = get_level(p, src_id, t; storage) + dst_level = get_level(p, dst_id, t; storage) if src_level !== nothing && dst_level !== nothing Δlevel = src_level - dst_level @@ -1101,34 +1096,28 @@ function formulate!( return nothing end -function formulate_flows!( - p::Parameters, - storage::AbstractVector, - current_level::AbstractVector, - flow::AbstractMatrix, - t::Float64, -)::Nothing +function formulate_flows!(p::Parameters, storage::AbstractVector, t::Float64)::Nothing (; linear_resistance, manning_resistance, tabulated_rating_curve, - fractional_flow, flow_boundary, pump, outlet, user, + fractional_flow, ) = p - formulate_flow!(linear_resistance, p, current_level, flow, t) - formulate_flow!(manning_resistance, p, current_level, flow, t) - formulate_flow!(tabulated_rating_curve, p, storage, current_level, flow, t) - formulate_flow!(flow_boundary, p, flow, t) - formulate_flow!(fractional_flow, flow, p) - formulate_flow!(pump, p, flow, storage) - formulate_flow!(outlet, p, flow, current_level, storage, t) - formulate_flow!(user, p, flow, current_level, storage, t) + formulate_flow!(linear_resistance, p, storage, t) + formulate_flow!(manning_resistance, p, storage, t) + formulate_flow!(tabulated_rating_curve, p, storage, t) + formulate_flow!(flow_boundary, p, storage, t) + formulate_flow!(pump, p, storage, t) + formulate_flow!(outlet, p, storage, t) + formulate_flow!(user, p, storage, t) - return nothing + # FractionalFlow must be done last as it relies on formulated input flows + formulate_flow!(fractional_flow, p, storage, t) end """ @@ -1150,35 +1139,20 @@ function water_balance!( # use parent to avoid materializing the ReinterpretArray from FixedSizeDiffCache parent(flow) .= 0.0 - current_area = get_tmp(basin.current_area, u) - current_level = get_tmp(basin.current_level, u) - pid_error = get_tmp(pid_control.error, u) - # Ensures current_* vectors are current - set_current_basin_properties!(basin, current_area, current_level, storage, t) + set_current_basin_properties!(basin, storage) # Basin forcings - formulate!(du, basin, storage, current_area, current_level, t) + formulate!(du, basin, storage) # First formulate intermediate flows - formulate_flows!(p, storage, current_level, flow, t) + formulate_flows!(p, storage, t) # Now formulate du formulate!(du, connectivity, flow, basin) # PID control (changes the du of PID controlled basins) - continuous_control!( - u, - du, - current_area, - pid_control, - p, - integral, - current_level, - flow, - pid_error, - t, - ) + continuous_control!(u, du, pid_control, p, integral, t) # Negative storage must not decrease, based on Shampine's et. al. advice # https://docs.sciml.ai/DiffEqCallbacks/stable/step_control/#DiffEqCallbacks.PositiveDomain diff --git a/core/src/utils.jl b/core/src/utils.jl index 65cb8372c..8967a8850 100644 --- a/core/src/utils.jl +++ b/core/src/utils.jl @@ -405,15 +405,17 @@ end """ Get the current water level of a node ID. The ID can belong to either a Basin or a LevelBoundary. +storage: tells ForwardDiff whether this call is for differentiation or not """ function get_level( p::Parameters, node_id::Int, - current_level::AbstractVector, - t::Float64, + t::Float64; + storage::Union{AbstractArray, Number} = 0, )::Union{Real, Nothing} (; basin, level_boundary) = p hasindex, i = id_index(basin.node_id, node_id) + current_level = get_tmp(basin.current_level, storage) return if hasindex current_level[i] else @@ -737,7 +739,7 @@ Upstream basins always depend on themselves. function update_jac_prototype!( jac_prototype::SparseMatrixCSC{Float64, Int64}, p::Parameters, - node::Union{Pump, Outlet, TabulatedRatingCurve}, + node::Union{Pump, Outlet, TabulatedRatingCurve, User}, )::Nothing (; basin, fractional_flow, connectivity) = p (; graph_flow) = connectivity diff --git a/docs/contribute/python.qmd b/docs/contribute/python.qmd index c4890e3ff..07ece0824 100644 --- a/docs/contribute/python.qmd +++ b/docs/contribute/python.qmd @@ -11,8 +11,7 @@ First, set up pixi as described on their getting started [page](https://prefix.d Then set up the environment by running the following commands: ``` -pixi install -pixi run post-install +pixi run install ``` diff --git a/pixi.lock b/pixi.lock index 4ed85a211..0e9396ce9 100644 --- a/pixi.lock +++ b/pixi.lock @@ -177,15 +177,15 @@ package: size: 8095 timestamp: 1649077760928 - name: argcomplete - version: 3.1.1 + version: 3.1.2 manager: conda platform: linux-64 dependencies: python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.1.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.1.2-pyhd8ed1ab_0.conda hash: - md5: 964bace0c38ce4733851a2a29679e3f9 - sha256: 1fe9b55d3daeb26ac404ec51f106ce8792d7d6548810ca87600cd9b9e9cfbd6e + md5: 05718204d3570baccbda39c830bbe4d9 + sha256: fc193581a3084f0e732145a99d488838ab394d8d97bd200bcdf9e4be00e0d07d optional: false category: main build: pyhd8ed1ab_0 @@ -195,18 +195,18 @@ package: license: Apache-2.0 license_family: Apache noarch: python - size: 39430 - timestamp: 1686587564613 + size: 39476 + timestamp: 1694937085441 - name: argcomplete - version: 3.1.1 + version: 3.1.2 manager: conda platform: osx-64 dependencies: python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.1.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.1.2-pyhd8ed1ab_0.conda hash: - md5: 964bace0c38ce4733851a2a29679e3f9 - sha256: 1fe9b55d3daeb26ac404ec51f106ce8792d7d6548810ca87600cd9b9e9cfbd6e + md5: 05718204d3570baccbda39c830bbe4d9 + sha256: fc193581a3084f0e732145a99d488838ab394d8d97bd200bcdf9e4be00e0d07d optional: false category: main build: pyhd8ed1ab_0 @@ -216,18 +216,18 @@ package: license: Apache-2.0 license_family: Apache noarch: python - size: 39430 - timestamp: 1686587564613 + size: 39476 + timestamp: 1694937085441 - name: argcomplete - version: 3.1.1 + version: 3.1.2 manager: conda platform: win-64 dependencies: python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.1.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/argcomplete-3.1.2-pyhd8ed1ab_0.conda hash: - md5: 964bace0c38ce4733851a2a29679e3f9 - sha256: 1fe9b55d3daeb26ac404ec51f106ce8792d7d6548810ca87600cd9b9e9cfbd6e + md5: 05718204d3570baccbda39c830bbe4d9 + sha256: fc193581a3084f0e732145a99d488838ab394d8d97bd200bcdf9e4be00e0d07d optional: false category: main build: pyhd8ed1ab_0 @@ -237,8 +237,8 @@ package: license: Apache-2.0 license_family: Apache noarch: python - 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size: 18783 - timestamp: 1689374602448 + size: 18954 + timestamp: 1695255262261 - name: zipp - version: 3.16.2 + version: 3.17.0 manager: conda platform: osx-64 dependencies: python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.16.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda hash: - md5: 2da0451b54c4563c32490cb1b7cf68a1 - sha256: 16d72127e150a3d5cbdc0b82c4069ef5be135c64bc99e71e7928507910669b41 + md5: 2e4d6bc0b14e10f895fc6791a7d9b26a + sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26 optional: false category: main build: pyhd8ed1ab_0 @@ -25754,18 +25749,18 @@ package: license: MIT license_family: MIT noarch: python - size: 18783 - timestamp: 1689374602448 + size: 18954 + timestamp: 1695255262261 - name: zipp - version: 3.16.2 + version: 3.17.0 manager: conda platform: win-64 dependencies: python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.16.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda hash: - md5: 2da0451b54c4563c32490cb1b7cf68a1 - sha256: 16d72127e150a3d5cbdc0b82c4069ef5be135c64bc99e71e7928507910669b41 + md5: 2e4d6bc0b14e10f895fc6791a7d9b26a + sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26 optional: false category: main build: pyhd8ed1ab_0 @@ -25775,8 +25770,8 @@ package: license: MIT license_family: MIT noarch: python - size: 18783 - timestamp: 1689374602448 + size: 18954 + timestamp: 1695255262261 - name: zlib version: 1.2.13 manager: conda diff --git a/pixi.toml b/pixi.toml index 65317b9ac..0417cf195 100644 --- a/pixi.toml +++ b/pixi.toml @@ -10,16 +10,16 @@ install-ribasim-python = "pip install --no-deps --editable python/ribasim" install-ribasim-api = "pip install --no-deps --editable python/ribasim_api" install-ribasim-testmodels = "pip install --no-deps --editable python/ribasim_testmodels" install-quartodoc = "pip install quartodoc" -pre-commit-install = "pre-commit install" -post-install-without-pre-commit = { depends_on = [ +install-pre-commit = "pre-commit install" +install-without-pre-commit = { depends_on = [ "install-ribasim-python", "install-ribasim-api", "install-ribasim-testmodels", "install-quartodoc", ] } -post-install = { depends_on = [ - "post-install-without-pre-commit", - "pre-commit-install", +install = { depends_on = [ + "install-without-pre-commit", + "install-pre-commit", ] } # Docs instantiate-julia-docs = "julia --project=docs -e \"using Pkg; Pkg.instantiate()\"" @@ -80,7 +80,7 @@ geopandas = "*" jupyterlab = "*" matplotlib = "*" mypy = "*" -pandas = "!=2.1.0" +pandas = "<2.1" pandas-stubs = "*" pandera = "*" pip = "*" diff --git a/python/ribasim/pyproject.toml b/python/ribasim/pyproject.toml index 9e7817201..2ce2353a1 100644 --- a/python/ribasim/pyproject.toml +++ b/python/ribasim/pyproject.toml @@ -21,7 +21,7 @@ requires-python = ">=3.9" dependencies = [ "geopandas", "matplotlib", - "pandas != 2.1.0", + "pandas < 2.1", "pandera != 0.16.0", "pyarrow", "pydantic ~= 1.0", diff --git a/python/ribasim_testmodels/ribasim_testmodels/__init__.py b/python/ribasim_testmodels/ribasim_testmodels/__init__.py index 9a5bd770c..99b71a67f 100644 --- a/python/ribasim_testmodels/ribasim_testmodels/__init__.py +++ b/python/ribasim_testmodels/ribasim_testmodels/__init__.py @@ -1,6 +1,6 @@ __version__ = "0.2.0" -from ribasim_testmodels.allocation import user_model +from ribasim_testmodels.allocation import subnetwork_model, user_model from ribasim_testmodels.backwater import backwater_model from ribasim_testmodels.basic import ( basic_model, @@ -64,4 +64,5 @@ "level_boundary_condition_model", "outlet_model", "user_model", + "subnetwork_model", ] diff --git a/python/ribasim_testmodels/ribasim_testmodels/allocation.py b/python/ribasim_testmodels/ribasim_testmodels/allocation.py index 0286c8ccf..0c3f1e8b6 100644 --- a/python/ribasim_testmodels/ribasim_testmodels/allocation.py +++ b/python/ribasim_testmodels/ribasim_testmodels/allocation.py @@ -70,7 +70,7 @@ def user_model(): basin = ribasim.Basin(profile=profile, static=static, state=state) - # Setup the user + # Setup the users: user = ribasim.User( static=pd.DataFrame( data={ @@ -122,3 +122,149 @@ def user_model(): ) return model + + +def subnetwork_model(): + """Create a user testmodel representing a subnetwork.""" + + # Setup the nodes: + xy = np.array( + [ + (3.0, 1.0), # 1: FlowBoundary + (2.0, 1.0), # 2: Basin + (1.0, 1.0), # 3: Outlet + (0.0, 1.0), # 4: Terminal + (2.0, 2.0), # 5: Pump + (2.0, 3.0), # 6: Basin + (1.0, 3.0), # 7: Outlet + (0.0, 3.0), # 8: Basin + (2.0, 5.0), # 9: Terminal + (2.0, 0.0), # 10: User + (3.0, 3.0), # 11: User + (0.0, 4.0), # 12: User + (2.0, 4.0), # 13: Outlet + ] + ) + node_xy = gpd.points_from_xy(x=xy[:, 0], y=xy[:, 1]) + + node_type = [ + "FlowBoundary", + "Basin", + "Outlet", + "Terminal", + "Pump", + "Basin", + "Outlet", + "Basin", + "Terminal", + "User", + "User", + "User", + "Outlet", + ] + + # Make sure the feature id starts at 1: explicitly give an index. + node = ribasim.Node( + static=gpd.GeoDataFrame( + data={"type": node_type}, + index=pd.Index(np.arange(len(xy)) + 1, name="fid"), + geometry=node_xy, + crs="EPSG:28992", + ) + ) + + # Setup the edges: + from_id = np.array( + [1, 2, 3, 2, 2, 5, 6, 7, 6, 8, 6, 13, 10, 11, 12], dtype=np.int64 + ) + to_id = np.array([2, 3, 4, 10, 5, 6, 7, 8, 11, 12, 13, 9, 2, 6, 8], dtype=np.int64) + lines = ribasim.utils.geometry_from_connectivity(node, from_id, to_id) + edge = ribasim.Edge( + static=gpd.GeoDataFrame( + data={ + "from_node_id": from_id, + "to_node_id": to_id, + "edge_type": len(from_id) * ["flow"], + }, + geometry=lines, + crs="EPSG:28992", + ) + ) + + # Setup the basins: + profile = pd.DataFrame( + data={"node_id": [2, 2, 6, 6, 8, 8], "area": 1000.0, "level": 3 * [0.0, 1.0]} + ) + + static = pd.DataFrame( + data={ + "node_id": [2, 6, 8], + "drainage": 0.0, + "potential_evaporation": 0.0, + "infiltration": 0.0, + "precipitation": 0.0, + "urban_runoff": 0.0, + } + ) + + # Setup the flow boundary: + flow_boundary = ribasim.FlowBoundary( + static=pd.DataFrame(data={"node_id": [1], "flow_rate": [1e-3]}) + ) + + state = pd.DataFrame(data={"node_id": [2, 6, 8], "level": 1.0}) + + basin = ribasim.Basin(profile=profile, static=static, state=state) + + # Setup the users: + user = ribasim.User( + static=pd.DataFrame( + data={ + "node_id": [10, 11, 12], + "demand": [1.0, 2.0, 4.0], + "return_factor": 0.9, + "min_level": 0.9, + "priority": [2, 2, 1], + } + ) + ) + + # Setup the pump: + pump = ribasim.Pump( + static=pd.DataFrame( + data={ + "node_id": [5], + "flow_rate": [4.0], + } + ) + ) + + # Setup the outlets: + outlet = ribasim.Outlet( + static=pd.DataFrame(data={"node_id": [3, 7, 13], "flow_rate": 3.0}) + ) + + # Setup the terminal: + terminal = ribasim.Terminal( + static=pd.DataFrame( + data={ + "node_id": [4, 9], + } + ) + ) + + model = ribasim.Model( + modelname="subnetwork", + node=node, + edge=edge, + basin=basin, + user=user, + flow_boundary=flow_boundary, + pump=pump, + outlet=outlet, + terminal=terminal, + starttime="2020-01-01 00:00:00", + endtime="2021-01-01 00:00:00", + ) + + return model