From 698a209928bd58951e09246af76fdccd240b7f6f Mon Sep 17 00:00:00 2001 From: yuetan Date: Sat, 6 Jan 2024 11:00:42 +0800 Subject: [PATCH] init --- .github/ISSUE_TEMPLATE/bug-report.md | 8 + .github/ISSUE_TEMPLATE/feature-request.md | 8 + .github/ISSUE_TEMPLATE/question.md | 13 + .github/PULL_REQUEST_TEMPLATE.md | 13 + .github/workflows/codeql-analysis.yml | 52 + .github/workflows/lint.yml | 70 + .github/workflows/pypi_release.yml | 39 + .github/workflows/test.yml | 125 + .gitignore | 92 + .pre-commit-config.yaml | 29 + .readthedocs.yml | 26 + CHANGELOG.md | 18 + LICENSE | 201 ++ Makefile | 22 + README.md | 110 + README_zh_CN.md | 86 + codecov.yml | 8 + docker/Dockerfile | 9 + docs/Makefile | 20 + docs/make.bat | 35 + docs/requirements_docs.txt | 13 + docs/source/_static/backward-scheduling.png | Bin 0 -> 128704 bytes docs/source/_static/forward-scheduling.png | Bin 0 -> 137718 bytes docs/source/_static/logo.svg | 4 + .../_static/network-backward-algorithm.svg | 1 + .../_static/simple-backward-algorithm.svg | 1 + .../_templates/custom-module-template.rst | 67 + docs/source/api.rst | 13 + docs/source/application.rst | 146 + docs/source/conf.py | 146 + docs/source/demand.rst | 3 + docs/source/heuristics.rst | 28 + docs/source/index.rst | 75 + docs/source/rl.rst | 2 + docs/source/rules.rst | 71 + examples/__init__.py | 0 examples/data/k1.json | 129 + examples/genetic_example.py | 0 examples/rule_example.py | 101 + lekin/__init__.py | 12 + lekin/dashboard/__init__.py | 0 lekin/dashboard/gantt.py | 70 + lekin/dashboard/pages.py | 3 + lekin/datasets/__init__.py | 0 lekin/datasets/check_data.py | 15 + lekin/datasets/get_data.py | 13 + lekin/datasets/parse_data.py | 0 lekin/forecast/__init__.py | 0 lekin/lekin_struct/__init__.py | 15 + lekin/lekin_struct/job.py | 154 + lekin/lekin_struct/material.py | 7 + lekin/lekin_struct/operation.py | 146 + lekin/lekin_struct/relation.py | 18 + lekin/lekin_struct/resource.py | 265 ++ lekin/lekin_struct/route.py | 59 + lekin/lekin_struct/timeslot.py | 44 + lekin/objective/__init__.py | 2 + lekin/objective/makespan.py | 19 + lekin/objective/tardiness.py | 30 + lekin/scheduler.py | 25 + lekin/solver/__init__.py | 363 +++ .../construction_heuristics/__init__.py | 9 + lekin/solver/construction_heuristics/atcs.py | 38 + lekin/solver/construction_heuristics/base.py | 19 + lekin/solver/construction_heuristics/cr.py | 30 + lekin/solver/construction_heuristics/edd.py | 30 + lekin/solver/construction_heuristics/epst.py | 109 + lekin/solver/construction_heuristics/fifo.py | 31 + lekin/solver/construction_heuristics/lpst.py | 146 + lekin/solver/construction_heuristics/lsf.py | 46 + lekin/solver/construction_heuristics/mix.py | 72 + lekin/solver/construction_heuristics/spt.py | 102 + lekin/solver/meta_heuristics/__init__.py | 6 + .../meta_heuristics/branch_and_bound.py | 57 + lekin/solver/meta_heuristics/critical_path.py | 70 + lekin/solver/meta_heuristics/genetic.py | 98 + lekin/solver/meta_heuristics/hill_climbing.py | 60 + lekin/solver/meta_heuristics/nsga3.py | 87 + lekin/solver/meta_heuristics/pso.py | 1 + .../meta_heuristics/shifting_bottle_neck.py | 63 + lekin/solver/meta_heuristics/tabu_search.py | 74 + .../variable_neighborhood_search.py | 89 + lekin/solver/operation_research/__init__.py | 1 + lekin/solver/operation_research/ortool.py | 69 + .../solver/reinforcement_learning/__init__.py | 1 + lekin/solver/reinforcement_learning/dqn.py | 99 + lekin/solver/utils/__init__.py | 0 lekin/solver/utils/push_dense.py | 28 + lekin/utils/__init__.py | 0 lekin/utils/group_op_ds.py | 67 + lekin/utils/push_dense.py | 17 + poetry.lock | 2669 +++++++++++++++++ pyproject.toml | 91 + setup.cfg | 69 + tests/__init__.py | 0 tests/test_dashboard/__init__.py | 0 tests/test_dashboard/test_gantt.py | 0 tests/test_datasets/__init__.py | 0 tests/test_lekin_struct/__init__.py | 0 tests/test_lekin_struct/test_job.py | 0 tests/test_lekin_struct/test_operation.py | 0 tests/test_lekin_struct/test_resource.py | 0 tests/test_lekin_struct/test_route.py | 0 tests/test_lekin_struct/test_timeslot.py | 0 tests/test_objective/__init__.py | 0 tests/test_solver/__init__.py | 0 .../test_construction_heuristics/__init__.py | 0 .../test_construction_heuristics/test_lpst.py | 3 + .../test_construction_heuristics/test_rule.py | 3 + .../test_construction_heuristics/test_spt.py | 3 + .../test_meta_heuristics/__init__.py | 0 .../test_branch_and_bound.py | 26 + .../test_meta_heuristics/test_genetic.py | 0 .../test_meta_heuristics/test_nsga3.py | 0 .../test_meta_heuristics/test_tabu_search.py | 0 .../test_reinforcement_learning/__init__.py | 0 .../test_reinforcement_learning/test_dqn.py | 0 117 files changed, 7427 insertions(+) create mode 100755 .github/ISSUE_TEMPLATE/bug-report.md create mode 100755 .github/ISSUE_TEMPLATE/feature-request.md create mode 100755 .github/ISSUE_TEMPLATE/question.md create mode 100644 .github/PULL_REQUEST_TEMPLATE.md create mode 100644 .github/workflows/codeql-analysis.yml create mode 100644 .github/workflows/lint.yml create mode 100644 .github/workflows/pypi_release.yml create mode 100644 .github/workflows/test.yml create mode 100644 .gitignore create mode 100644 .pre-commit-config.yaml create mode 100644 .readthedocs.yml create mode 100644 CHANGELOG.md create mode 100755 LICENSE create mode 100644 Makefile create mode 100644 README.md create mode 100644 README_zh_CN.md create mode 100644 codecov.yml create mode 100644 docker/Dockerfile create mode 100644 docs/Makefile create mode 100644 docs/make.bat create mode 100644 docs/requirements_docs.txt create mode 100644 docs/source/_static/backward-scheduling.png create mode 100644 docs/source/_static/forward-scheduling.png create mode 100644 docs/source/_static/logo.svg create mode 100644 docs/source/_static/network-backward-algorithm.svg create mode 100644 docs/source/_static/simple-backward-algorithm.svg create mode 100644 docs/source/_templates/custom-module-template.rst create mode 100644 docs/source/api.rst create mode 100644 docs/source/application.rst create mode 100644 docs/source/conf.py create mode 100644 docs/source/demand.rst create mode 100644 docs/source/heuristics.rst create mode 100644 docs/source/index.rst create mode 100644 docs/source/rl.rst create mode 100644 docs/source/rules.rst create mode 100644 examples/__init__.py create mode 100644 examples/data/k1.json create mode 100644 examples/genetic_example.py create mode 100644 examples/rule_example.py create mode 100644 lekin/__init__.py create mode 100644 lekin/dashboard/__init__.py create mode 100644 lekin/dashboard/gantt.py create mode 100644 lekin/dashboard/pages.py create mode 100644 lekin/datasets/__init__.py create mode 100644 lekin/datasets/check_data.py create mode 100644 lekin/datasets/get_data.py create mode 100644 lekin/datasets/parse_data.py create mode 100644 lekin/forecast/__init__.py create mode 100644 lekin/lekin_struct/__init__.py create mode 100644 lekin/lekin_struct/job.py create mode 100644 lekin/lekin_struct/material.py create mode 100644 lekin/lekin_struct/operation.py create mode 100644 lekin/lekin_struct/relation.py create mode 100644 lekin/lekin_struct/resource.py create mode 100644 lekin/lekin_struct/route.py create mode 100644 lekin/lekin_struct/timeslot.py create mode 100644 lekin/objective/__init__.py create mode 100644 lekin/objective/makespan.py create mode 100644 lekin/objective/tardiness.py create mode 100644 lekin/scheduler.py create mode 100644 lekin/solver/__init__.py create mode 100644 lekin/solver/construction_heuristics/__init__.py create mode 100644 lekin/solver/construction_heuristics/atcs.py create mode 100644 lekin/solver/construction_heuristics/base.py create mode 100644 lekin/solver/construction_heuristics/cr.py create mode 100644 lekin/solver/construction_heuristics/edd.py create mode 100644 lekin/solver/construction_heuristics/epst.py create mode 100644 lekin/solver/construction_heuristics/fifo.py create mode 100644 lekin/solver/construction_heuristics/lpst.py create mode 100644 lekin/solver/construction_heuristics/lsf.py create mode 100644 lekin/solver/construction_heuristics/mix.py create mode 100644 lekin/solver/construction_heuristics/spt.py create mode 100644 lekin/solver/meta_heuristics/__init__.py create mode 100644 lekin/solver/meta_heuristics/branch_and_bound.py create mode 100644 lekin/solver/meta_heuristics/critical_path.py create mode 100644 lekin/solver/meta_heuristics/genetic.py create mode 100644 lekin/solver/meta_heuristics/hill_climbing.py create mode 100644 lekin/solver/meta_heuristics/nsga3.py create mode 100644 lekin/solver/meta_heuristics/pso.py create mode 100644 lekin/solver/meta_heuristics/shifting_bottle_neck.py create mode 100644 lekin/solver/meta_heuristics/tabu_search.py create mode 100644 lekin/solver/meta_heuristics/variable_neighborhood_search.py create mode 100644 lekin/solver/operation_research/__init__.py create mode 100644 lekin/solver/operation_research/ortool.py create mode 100644 lekin/solver/reinforcement_learning/__init__.py create mode 100644 lekin/solver/reinforcement_learning/dqn.py create mode 100644 lekin/solver/utils/__init__.py create mode 100644 lekin/solver/utils/push_dense.py create mode 100644 lekin/utils/__init__.py create mode 100644 lekin/utils/group_op_ds.py create mode 100644 lekin/utils/push_dense.py create mode 100644 poetry.lock create mode 100644 pyproject.toml create mode 100644 setup.cfg create mode 100644 tests/__init__.py create mode 100644 tests/test_dashboard/__init__.py create mode 100644 tests/test_dashboard/test_gantt.py create mode 100644 tests/test_datasets/__init__.py create mode 100644 tests/test_lekin_struct/__init__.py create mode 100644 tests/test_lekin_struct/test_job.py create mode 100644 tests/test_lekin_struct/test_operation.py create mode 100644 tests/test_lekin_struct/test_resource.py create mode 100644 tests/test_lekin_struct/test_route.py create mode 100644 tests/test_lekin_struct/test_timeslot.py create mode 100644 tests/test_objective/__init__.py create mode 100644 tests/test_solver/__init__.py create mode 100644 tests/test_solver/test_construction_heuristics/__init__.py create mode 100644 tests/test_solver/test_construction_heuristics/test_lpst.py create mode 100644 tests/test_solver/test_construction_heuristics/test_rule.py create mode 100644 tests/test_solver/test_construction_heuristics/test_spt.py create mode 100644 tests/test_solver/test_meta_heuristics/__init__.py create mode 100644 tests/test_solver/test_meta_heuristics/test_branch_and_bound.py create mode 100644 tests/test_solver/test_meta_heuristics/test_genetic.py create mode 100644 tests/test_solver/test_meta_heuristics/test_nsga3.py create mode 100644 tests/test_solver/test_meta_heuristics/test_tabu_search.py create mode 100644 tests/test_solver/test_reinforcement_learning/__init__.py create mode 100644 tests/test_solver/test_reinforcement_learning/test_dqn.py diff --git a/.github/ISSUE_TEMPLATE/bug-report.md b/.github/ISSUE_TEMPLATE/bug-report.md new file mode 100755 index 0000000..5a3baa2 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug-report.md @@ -0,0 +1,8 @@ +--- +name: "🐛 Bug Report" +about: Create a report to help us improve +title: '' +labels: bug +assignees: '' + +--- diff --git a/.github/ISSUE_TEMPLATE/feature-request.md b/.github/ISSUE_TEMPLATE/feature-request.md new file mode 100755 index 0000000..972de88 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature-request.md @@ -0,0 +1,8 @@ +--- +name: "🚀 Feature Request" +about: Suggest an idea for this project +title: '' +labels: enhancement +assignees: '' + +--- diff --git a/.github/ISSUE_TEMPLATE/question.md b/.github/ISSUE_TEMPLATE/question.md new file mode 100755 index 0000000..2c22aea --- /dev/null +++ b/.github/ISSUE_TEMPLATE/question.md @@ -0,0 +1,13 @@ +--- +name: "❓Question" +about: Ask a general question +title: '' +labels: question +assignees: '' + +--- + +## ❔Question + + +## Additional context diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000..0af54de --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,13 @@ +### Description + +This PR ... + +### Checklist + +- [ ] Linked issues (if existing) +- [ ] Amended changelog.md for large changes (and added myself there as contributor) +- [ ] Added/modified tests +- [ ] Used pre-commit hooks when committing to ensure that code is compliant with hooks. Install hooks with `pre-commit install`. + To run hooks independent of commit, execute `pre-commit run --all-files` + +Thank you for joining. Have fun coding! diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml new file mode 100644 index 0000000..f16fcfb --- /dev/null +++ b/.github/workflows/codeql-analysis.yml @@ -0,0 +1,52 @@ +# This action runs GitHub's industry-leading static analysis engine, CodeQL, against a repository's source code to find security vulnerabilities. +# https://github.com/github/codeql-action + +name: "CodeQL" + +on: + schedule: + - cron: '0 0 27 * *' # Runs at 00:00 UTC on the 27th of every month + +jobs: + analyze: + name: Analyze + runs-on: ubuntu-latest + + strategy: + fail-fast: false + matrix: + language: ['python'] + # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python' ] + + steps: + - name: Checkout repository + uses: actions/checkout@v3 + + # Initializes the CodeQL tools for scanning. + - name: Initialize CodeQL + uses: github/codeql-action/init@v2 + with: + languages: ${{ matrix.language }} + # If you wish to specify custom queries, you can do so here or in a config file. + # By default, queries listed here will override any specified in a config file. + # Prefix the list here with "+" to use these queries and those in the config file. + # queries: ./path/to/local/query, your-org/your-repo/queries@main + + # Autobuild attempts to build any compiled languages (C/C++, C#, or Java). + # If this step fails, then you should remove it and run the build manually (see below) + - name: Autobuild + uses: github/codeql-action/autobuild@v2 + + # ℹ️ Command-line programs to run using the OS shell. + # 📚 https://git.io/JvXDl + + # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines + # and modify them (or add more) to build your code if your project + # uses a compiled language + + #- run: | + # make bootstrap + # make release + + - name: Perform CodeQL Analysis + uses: github/codeql-action/analyze@v2 diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml new file mode 100644 index 0000000..8acd81b --- /dev/null +++ b/.github/workflows/lint.yml @@ -0,0 +1,70 @@ +name: Lint + +on: + push: + branches: [master, main, dev] + pull_request: + branches: [master, main] + +jobs: + linter-black: + name: Check code formatting with Black + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v2 + - name: Set up Python 3.8 + uses: actions/setup-python@v2 + with: + python-version: 3.8 + - name: Install Black + run: pip install black[jupyter] + - name: Run Black + run: black --check . + + imports-check-isort: + name: Check valid import formatting with isort + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v2 + - name: Set up Python 3.8 + uses: actions/setup-python@v2 + with: + python-version: 3.8 + - name: Install isort + run: pip install isort==5.6.4 + - name: Run isort + run: isort --check-only --diff . + + linter-flake8: + name: Check valid formatting with flake8 + runs-on: ubuntu-latest + timeout-minutes: 10 + steps: + - name: Checkout + uses: actions/checkout@v2 + - uses: actions/setup-python@v2 + with: + python-version: 3.8 + + - name: Install dependencies + run: pip install flake8==3.9.2 + - name: Run checks + run: flake8 + + pre-commit-hooks: + name: Check that pre-commit hooks pass + runs-on: ubuntu-latest + timeout-minutes: 10 + steps: + - name: Checkout + uses: actions/checkout@v2 + - uses: actions/setup-python@v2 + with: + python-version: 3.8 + - name: Install dependencies + run: pip install pre-commit + + - name: Run checks + run: pre-commit run --all-files diff --git a/.github/workflows/pypi_release.yml b/.github/workflows/pypi_release.yml new file mode 100644 index 0000000..a366f6c --- /dev/null +++ b/.github/workflows/pypi_release.yml @@ -0,0 +1,39 @@ +# This workflows will upload a Python Package using Twine when a release is created +# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries + +name: PyPi Release + +on: + push: + branches: [main] + release: + types: [created] + +jobs: + deploy: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v2 + - name: Set up Python + uses: actions/setup-python@v2 + with: + python-version: '3.8' + + - name: Install poetry + shell: bash + run: | + curl -sSL https://install.python-poetry.org | python3 - + python -m pip install poetry-dynamic-versioning[plugin] + + - name: Set poetry path variable + run: echo "/Users/runner/.local/bin" >> $GITHUB_PATH + + - name: Build + run: | + poetry build + + - name: Publish distribution 📦 to PyPI + if: startsWith(github.event.ref, 'refs/tags') || github.event_name == 'release' + run: | + poetry publish --username "${{ secrets.PYPI_USERNAME }}" --password "${{ secrets.PYPI_PASSWORD }}" diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 0000000..b78dac0 --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,125 @@ +# This workflow will install Python dependencies, run tests and lint with a variety of Python versions +# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions + +name: Test + +on: + push: + branches: [master, main, dev] + pull_request: + branches: [master, main, dev] + +jobs: + build: + runs-on: ${{ matrix.os }} + strategy: + matrix: + os: [ubuntu-latest, macOS-latest] # add windows-2019 when poetry allows installation with `-f` flag + python-version: [3.8, 3.9] # python 3.9 is not supported by all dependencies yet + + steps: + - uses: actions/checkout@v2 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + + - name: Get full Python version + id: full-python-version + shell: bash + run: echo ::set-output name=version::$(python -c "import sys; print('-'.join(str(v) for v in sys.version_info))") + + - name: Install poetry + shell: bash + run: | + curl -sSL https://install.python-poetry.org | python3 - + - name: Set poetry path variable + run: echo "/Users/runner/.local/bin" >> $GITHUB_PATH + + - name: Configure poetry + shell: bash + run: poetry config virtualenvs.in-project true + + - name: Set up cache + uses: actions/cache@v2 + id: cache + with: + path: .venv + key: venv-${{ runner.os }}-${{ steps.full-python-version.outputs.version }}-${{ hashFiles('**/poetry.lock') }} + + - name: Ensure cache is healthy + if: steps.cache.outputs.cache-hit == 'true' + shell: bash + run: poetry run pip --version >/dev/null 2>&1 || rm -rf .venv + + - name: Upgrade pip + shell: bash + run: poetry run python -m pip install pip -U + + - name: Install dependencies + shell: bash + run: poetry install --no-interaction --no-root + + - name: Run unittest + shell: bash + run: poetry run coverage run -m unittest discover -s ./tests -p 'test_*.py' + + - name: Statistics + if: success() + run: | + poetry run coverage report -i + poetry run coverage xml -i + + - name: Upload coverage to Codecov + uses: codecov/codecov-action@v3 + if: always() + continue-on-error: true + with: + token: ${{ secrets.CODECOV_TOKEN }} + file: coverage.xml + flags: cpu, unittest + name: CPU-coverage + fail_ci_if_error: false + + docs: + name: Test docs build + runs-on: ubuntu-latest + + steps: + - name: Check out Git repository + uses: actions/checkout@v2 + + - name: Set up Python + uses: actions/setup-python@v1 + with: + python-version: 3.8 + + - name: Cache pip + uses: actions/cache@v2 + with: + path: ~/.cache/pip + key: ${{ runner.os }}-pip-${{ hashFiles('docs/requirements_docs.txt') }} + restore-keys: | + ${{ runner.os }}-pip- + + - name: Install dependencies + run: | + sudo apt-get update && sudo apt-get install -y pandoc + python -m pip install --upgrade pip + pip install -r docs/requirements_docs.txt + shell: bash + + - name: Build sphinx documentation + run: | + cd docs + make clean + make html --debug --jobs 2 SPHINXOPTS="-W" + + - name: Upload built docs + uses: actions/upload-artifact@v2 + with: + name: docs-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }} + path: docs/build/html/ + # Use always() to always run this step to publish test results when there are test failures + if: success() diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..569e40e --- /dev/null +++ b/.gitignore @@ -0,0 +1,92 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# Sphinx documentation +docs/_build/ +docs/source/api/ +docs/source/CHANGELOG.md + +# mkdocs documentation +/site + +# pycharm +.idea + +# vscode +.vscode + +# checkpoints +*.ckpt +*.pkl +.DS_Store + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# yuetan +**/nohup.out +/reference/ +/data/ +/weights/ +/reference/jobshoppro/* +/business/* +/examples/*.xlsx diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..ae55273 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,29 @@ +# See https://pre-commit.com for more information +# See https://pre-commit.com/hooks.html for more hooks +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.1.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - id: check-ast + - repo: https://github.com/PyCQA/flake8 + rev: "3.9.2" + hooks: + - id: flake8 + - repo: https://github.com/pre-commit/mirrors-isort + rev: v5.10.1 + hooks: + - id: isort + - repo: https://github.com/psf/black + rev: 22.3.0 + hooks: + - id: black + - repo: https://github.com/nbQA-dev/nbQA + rev: 1.2.3 + hooks: + - id: nbqa-black + - id: nbqa-isort + - id: nbqa-flake8 + - id: nbqa-check-ast diff --git a/.readthedocs.yml b/.readthedocs.yml new file mode 100644 index 0000000..3a16e74 --- /dev/null +++ b/.readthedocs.yml @@ -0,0 +1,26 @@ +# .readthedocs.yml +# Read the Docs configuration file +# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details + +# Required +version: 2 + +# Build documentation in the docs/ directory with Sphinx +# reference: https://docs.readthedocs.io/en/stable/config-file/v2.html#sphinx +sphinx: + configuration: docs/source/conf.py + fail_on_warning: false + +# Build documentation with MkDocs +#mkdocs: +# configuration: mkdocs.yml + +# Optionally build your docs in additional formats such as PDF and ePub +formats: + - htmlzip + +# Optionally set the version of Python and requirements required to build your docs +python: + version: 3.8 + install: + - requirements: docs/requirements_docs.txt diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..4eb3502 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,18 @@ +# Release notes + +## v0.0.1 Initial release (15/10/2022) + +### Added +- solver support + - dispatching rules + - spt + - fifo + - edd + - forward scheduling + - backward scheduling + - meta heuristics + - local search + - genetic + +### Contributor +- LongxingTan diff --git a/LICENSE b/LICENSE new file mode 100755 index 0000000..e9f1ff4 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [2023] [Longxing Tan] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..5b96002 --- /dev/null +++ b/Makefile @@ -0,0 +1,22 @@ +.PHONY: style test docs + +check_dirs := lekin examples tests + +# run checks on all files and potentially modifies some of them + +style: + black $(check_dirs) + isort $(check_dirs) + flake8 $(check_dirs) + pre-commit run --files $(check_dirs) + +# run tests for the library + +test: + python -m unittest + +# run tests for the docs + +docs: + make -C docs clean M=$(shell pwd) + make -C docs html M=$(shell pwd) diff --git a/README.md b/README.md new file mode 100644 index 0000000..0e8d2a2 --- /dev/null +++ b/README.md @@ -0,0 +1,110 @@ +[license-image]: https://img.shields.io/badge/License-Apache%202.0-blue.svg +[license-url]: https://opensource.org/licenses/Apache-2.0 +[pypi-image]: https://badge.fury.io/py/lekin.svg +[pypi-url]: https://pypi.python.org/pypi/lekin +[pepy-image]: https://pepy.tech/badge/lekin/month +[pepy-url]: https://pepy.tech/project/lekin +[build-image]: https://github.com/LongxingTan/python-lekin/actions/workflows/test.yml/badge.svg?branch=master +[build-url]: https://github.com/LongxingTan/python-lekin/actions/workflows/test.yml?query=branch%3Amaster +[lint-image]: https://github.com/LongxingTan/python-lekin/actions/workflows/lint.yml/badge.svg?branch=master +[lint-url]: https://github.com/LongxingTan/python-lekin/actions/workflows/lint.yml?query=branch%3Amaster +[docs-image]: https://readthedocs.org/projects/python-lekin/badge/?version=latest +[docs-url]: https://python-lekin.readthedocs.io/en/latest/ +[coverage-image]: https://codecov.io/gh/longxingtan/python-lekin/branch/master/graph/badge.svg +[coverage-url]: https://codecov.io/github/longxingtan/python-lekin?branch=master +[codeql-image]: https://github.com/longxingtan/python-lekin/actions/workflows/codeql-analysis.yml/badge.svg +[codeql-url]: https://github.com/longxingtan/python-lekin/actions/workflows/codeql-analysis.yml + +

+ +


+ +[![LICENSE][license-image]][license-url] +[![PyPI Version][pypi-image]][pypi-url] +[![Download][pepy-image]][pepy-url] +[![Build Status][build-image]][build-url] +[![Lint Status][lint-image]][lint-url] +[![Docs Status][docs-image]][docs-url] +[![Code Coverage][coverage-image]][coverage-url] +[![CodeQL Status][codeql-image]][codeql-url] + +**[Documentation](https://python-lekin.readthedocs.io)** | **[Tutorials](https://python-lekin.readthedocs.io/en/latest/tutorials.html)** | **[Release Notes](https://python-lekin.readthedocs.io/en/latest/CHANGELOG.html)** | **[中文](https://github.com/LongxingTan/python-lekin/blob/master/README_zh_CN.md)** + +**python-lekin** is a rapid-to-implement and easy-to-use Flexible Job Shop Scheduler Library, named after and inspired by [Lekin](https://web-static.stern.nyu.edu/om/software/lekin/). As a core function in **APS (advanced planning and scheduler)**, it helps manufacturers optimize the allocation of materials and production capacity optimally to balance demand and capacity. + +- accelerate by +- Changeover Optimization +- Ready for demo, research and maybe production + +# **DEVELOPING - NOT FINISHED AND DON'T USE IT NOW!** + +## Feature + +- constrained optimization + - route + - production + - material kit + - together + +- soft constrained optimization + - objective + + +## Tutorial + +**Installation** + +``` shell +$ pip install lekin +``` + +**Usage** + +``` python +from lekin import Heuristics, Rule +from lekin import Scheduler + +solver = Rule('SPT') +scheduler = Scheduler(solver) +scheduler.solve(job_list, machine_list) + +scheduler.draw() +``` + +## Examples + +In real world, Lekin integrates with MES to deploy production plans on the shop floor. Integration with ERP system is also required to exchange information on demand, inventory, and production + +- Exhaustive search + - branch and bound + +- Construction heuristics + - [SPT]() + - [critical path]() + +- Meta heuristics + - [local search]() + - [hill climbing]() + - [tabu search]() + - [evolutionary algorithms]() + - [genetic algorithms]() + +- Operation search + - [or-tools]() + +- Reinforcement learning + +Metaheuristics combined with Construction +Heuristics to initialize is the recommended choice. + +## Citation +``` +@misc{python-lekin2022, + author = {Yue Tan}, + title = {python lekin}, + year = {2020}, + publisher = {GitHub}, + journal = {GitHub repository}, + howpublished = {\url{https://github.com/yuetan1988/python-lekin}}, +} +``` diff --git a/README_zh_CN.md b/README_zh_CN.md new file mode 100644 index 0000000..cf97c5f --- /dev/null +++ b/README_zh_CN.md @@ -0,0 +1,86 @@ +[license-image]: https://img.shields.io/badge/License-Apache%202.0-blue.svg +[license-url]: https://opensource.org/licenses/Apache-2.0 +[pypi-image]: https://badge.fury.io/py/python-lekin.svg +[pypi-url]: https://pypi.python.org/pypi/python-lekin +[pepy-image]: https://pepy.tech/badge/lekin/month +[pepy-url]: https://pepy.tech/project/lekin +[build-image]: https://github.com/LongxingTan/python-lekin/actions/workflows/test.yml/badge.svg?branch=master +[build-url]: https://github.com/LongxingTan/python-lekin/actions/workflows/test.yml?query=branch%3Amaster +[lint-image]: https://github.com/LongxingTan/python-lekin/actions/workflows/lint.yml/badge.svg?branch=master +[lint-url]: https://github.com/LongxingTan/python-lekin/actions/workflows/lint.yml?query=branch%3Amaster +[docs-image]: https://readthedocs.org/projects/python-lekin/badge/?version=latest +[docs-url]: https://python-lekin.readthedocs.io/en/latest/ +[coverage-image]: https://codecov.io/gh/longxingtan/python-lekin/branch/master/graph/badge.svg +[coverage-url]: https://codecov.io/github/longxingtan/python-lekin?branch=master + +

+ +


+ +[![LICENSE][license-image]][license-url] +[![PyPI Version][pypi-image]][pypi-url] +[![Download][pepy-image]][pepy-url] +[![Build Status][build-image]][build-url] +[![Lint Status][lint-image]][lint-url] +[![Docs Status][docs-image]][docs-url] +[![Code Coverage][coverage-image]][coverage-url] + +**[文档](https://python-lekin.readthedocs.io)** | **[教程](https://python-lekin.readthedocs.io/en/latest/tutorials.html)** | **[发布日志](https://python-lekin.readthedocs.io/en/latest/CHANGELOG.html)** | **[English](https://github.com/LongxingTan/python-lekin/blob/master/README.md)** + +**python-lekin**是一个APS智能排产调度工具，名字来源于[Lekin](https://web-static.stern.nyu.edu/om/software/lekin/)。在考虑实际约束的前提下，实现动态调整计划排程，高效响应客户订单承诺。 + + +- 支持工艺路线约束 +- 支持产能约束 +- 支持物料齐套约束 +- 支持顺排、倒排等排产方法 +- 支持遗传算法排产 +- 支持强化学习排产 + +# **开发中- 目前请不要使用包，可用代码跑和学习!** + +## 快速入门 + +### 安装 + +``` shell +$ pip install lekin +``` + +### 使用 + +``` python +from lekin import Heuristics, Genetics +from lekin import Scheduler + +solver = Heuristics() +scheduler = Scheduler(solver) +scheduler.solve(jobs, machines) + +scheduler.draw() +``` + +## 示例 +在实际APS系统开发中， + +- 按工艺路线拆分工序 +- 按BOM拆分物料 + +### 数据准备 +- Job +- Task +- Machine +- Route + +## 引用 + +``` +@misc{python-lekin2022, + author = {Yue Tan}, + title = {python lekin}, + year = {2020}, + publisher = {GitHub}, + journal = {GitHub repository}, + howpublished = {\url{https://github.com/yuetan1988/python-lekin}}, +} +``` diff --git a/codecov.yml b/codecov.yml new file mode 100644 index 0000000..cb9489b --- /dev/null +++ b/codecov.yml @@ -0,0 +1,8 @@ +coverage: + precision: 2 + round: down + range: "70...100" + status: + project: + default: + threshold: 0.2% diff --git a/docker/Dockerfile b/docker/Dockerfile new file mode 100644 index 0000000..8e9b12b --- /dev/null +++ b/docker/Dockerfile @@ -0,0 +1,9 @@ +FROM ubuntu:18.04 + +RUN apt-get update +RUN apt-get install -y wget vim python3.8 + +RUN pip install --no-cache-dir lekin + +# Set the default command to python3. +CMD ["python3"] diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 0000000..d0c3cbf --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = source +BUILDDIR = build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/make.bat b/docs/make.bat new file mode 100644 index 0000000..6247f7e --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=source +set BUILDDIR=build + +if "%1" == "" goto help + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.http://sphinx-doc.org/ + exit /b 1 +) + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/docs/requirements_docs.txt b/docs/requirements_docs.txt new file mode 100644 index 0000000..b1acf8e --- /dev/null +++ b/docs/requirements_docs.txt @@ -0,0 +1,13 @@ +recommonmark>=0.7.1 +nbconvert>=6.3.0 +pandoc>=1.0 +ipython +sphinx>3.2 +nbsphinx==0.8.8 +sphinx_markdown_tables==0.0.17 +pydata_sphinx_theme==0.8.0 +docutils +sphinx-autobuild + +pandas +numpy diff --git a/docs/source/_static/backward-scheduling.png b/docs/source/_static/backward-scheduling.png new file mode 100644 index 0000000000000000000000000000000000000000..99a9b8f56c28b2fc4fe41aed782177bcdf49cf32 GIT binary patch literal 128704 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python-lekin
python-lekinText is not SVG - cannot display diff --git a/docs/source/_static/network-backward-algorithm.svg b/docs/source/_static/network-backward-algorithm.svg new file mode 100644 index 0000000..8247950 --- /dev/null +++ b/docs/source/_static/network-backward-algorithm.svg @@ -0,0 +1 @@ +13342 diff --git a/docs/source/_static/simple-backward-algorithm.svg b/docs/source/_static/simple-backward-algorithm.svg new file mode 100644 index 0000000..8c9f3c9 --- /dev/null +++ b/docs/source/_static/simple-backward-algorithm.svg @@ -0,0 +1 @@ +13332 diff --git a/docs/source/_templates/custom-module-template.rst b/docs/source/_templates/custom-module-template.rst new file mode 100644 index 0000000..8617479 --- /dev/null +++ b/docs/source/_templates/custom-module-template.rst @@ -0,0 +1,67 @@ +{{ fullname.split(".")[-1] | escape | underline}} + +.. automodule:: {{ fullname }} + + {% block attributes %} + {% if attributes %} + .. rubric:: Module Attributes + + .. autosummary:: + :toctree: + {% for item in attributes %} + {{ item }} + {%- endfor %} + {% endif %} + {% endblock %} + + {% block functions %} + {% if functions %} + .. rubric:: {{ _('Functions') }} + + .. autosummary:: + :toctree: + :template: custom-base-template.rst + {% for item in functions %} + {{ item }} + {%- endfor %} + {% endif %} + {% endblock %} + + {% block classes %} + {% if classes %} + .. rubric:: {{ _('Classes') }} + + .. autosummary:: + :toctree: + :template: custom-class-template.rst + {% for item in classes %} + {{ item }} + {%- endfor %} + {% endif %} + {% endblock %} + + {% block exceptions %} + {% if exceptions %} + .. rubric:: {{ _('Exceptions') }} + + .. autosummary:: + :toctree: + {% for item in exceptions %} + {{ item }} + {%- endfor %} + {% endif %} + {% endblock %} + +{% block modules %} +{% if modules %} +.. rubric:: Modules + +.. autosummary:: + :toctree: + :template: custom-module-template.rst + :recursive: +{% for item in modules %} + {{ item }} +{%- endfor %} +{% endif %} +{% endblock %} diff --git a/docs/source/api.rst b/docs/source/api.rst new file mode 100644 index 0000000..1fc7aaa --- /dev/null +++ b/docs/source/api.rst @@ -0,0 +1,13 @@ +API +==== + +.. currentmodule:: lekin + +.. autosummary:: + :toctree: api + :template: custom-module-template.rst + :recursive: + + scheduler + solver + lekin_struct diff --git a/docs/source/application.rst b/docs/source/application.rst new file mode 100644 index 0000000..d84d113 --- /dev/null +++ b/docs/source/application.rst @@ -0,0 +1,146 @@ +Application +=========== + +基本概念 +---------------- +均衡生产：heijunka + + +数据 +---------------- + +MRP: Material Requirements Planning + + +BOM: Bill Of Materials + + +功能 +------------------------ + +一个完善的APS系统包含以下模块。 +- 需求中心 +- 排程中心 +- 排程工作台 +- 物料中心 + + +建模 +---------- + +Activities represent operations with time and resource requirements +Resources have calendars defining availability +Demand represents customer orders to fulfill + + +过程 +---------- + +实际APS会涉及到各个车间，各个工序的复杂区分，以及BOM中涉及到多工厂的部分。 +- 其实和APS关系不大，APS只要把最后一层工序展开，最后一层BOM展开，按实际的资源约束进行计算，最后只是展现形式上的区别 + +首先解决m个工序、n个机器的车间排产问题，然后把实际问题往车间问题靠。 + +1、根据一定的规则（产品总工作时长、工序B的最早开工时间等）获得产品的优先级 +2、初始化任务的初始状态，除了每个产品的工序A为可开工状态其余皆为不可开工状态； +3、根据优先级对工序A对应的任务进行加工，并更新任务的状态及紧后工序的状态； +4、对机器的空闲时间进行排序，取最早可开工机器k； +5、根据机器k的空闲开始时间以及任务状态检索任务，存储为任务列表R； +6、判断任务列表R是否为空，是则k=k+1，返回步骤五，否则进行下一步； +7、根据任务的最早可加工时间进行排序，选择最早开始的任务进行加工，更新机器状态、任务状态及后续的工序状态； + ·确定任务的开工时间及结束时间 + ·更新机器的释放时间 + ·更新当前任务的状态、开工时间、完工时间 + ·更新当前任务后续节点的最早开工时间，若当前任务为产品的最后一个工序则无须更新 +8、判断所有任务是否均已完工，是则结束，否则返回步骤四。 + +解决冲突的过程，即是一个顺排的过程。把所有分布在该资源上的任务根据顺序进行顺排 + +车间过程1-倒排+顺排 +------------------- + +先分发冻结期，按锁定期 +- 关键问题：成组后的工序部分处于冻结期；job的工序不是完整的工序 +- 只assign资源和日历，由于不完整进行顺排。 +- 检查物料齐套约束，如果物料不齐套，按齐套排程并给出报警消息 + + +再排锁定任务 +- 只倒排，如果倒排不可行则返回错误。按优先级 + - 非关键工序: 按lead_time（倒排lead_time，顺排lag_time）、节拍往前排，不考虑齐套时间。 + - 关键工序: 如有锁定资源，则按资源情况进行编排。不考虑齐套时间，因为锁定任务是为了确保优先级，物料通过缺料去人工追料 + - 共享工序: 共享工序本身取多个job中靠前的时间断。 + - 原本已经排过的其他job，前序工序需要以此为新的往前推 + - 同时拥有共享工序的job排序适时进行调整，尽量避免以上修改 + - 在冻结期且物料约束不满足: 按最早齐套时间进行排产，同时已排工序进行 + + +再根据优先级排产其他任务 +- 先倒排 + - 第一道关键工序前的非关键工序，先按lead time进行排，后面需要二次更新。 + - 关键工序倒排，(task分割会有的)非关键工序则按lead time前推 + - 倒排中时间约束都是最晚时间，但物料约束是最早开始时间。如果时间不足以排产，则该工序及之后的工序都转为顺排重排 + - 另一个思路是，先直接道排到第一个工序，后续一起按照可开始时间进行顺排。甚至等到推紧时一起顺排是否可行呢 + - 遇到共享task，如果之前的共享task被安排的时间更晚，那么剩余工序也转为顺排重排 + - 第一步剩余的非关键工序后拉 + - 如果任务一步中，资源日历不足则进入下一步 +- 倒排有问题则顺排 + - 按各个资源最早可用日期开始排 (此时应该选可以最早的资源)，非关键工序按lead time排，并需要进行二次更新 + - 关键工序顺排 + - 如果遇到共享task不满足时间约束 + - 第一步剩余的非关键工序前拉 + - 如果任何一步中，资源日历不足则返回错误 +- 关键工序完全没有设置的job，按无限产能倒排 + + +任务推紧规整 +- 所有任务都采用顺排，类似按资源排产的方法。 +- 按关键工序设置，“是否可以挪动”。每一个资源的第一道关键工序都可以向前，并跟新后续的可挪动状态与开始时间约束 +- 迭代更新 + + +未排任务再次尝试 +- 推紧之后，再次尝试将之前未排的任务进行排产 + + +委外/外协的排产 +- 委外的指定是针对供应商，排到日历中 +- 根据关键工序的产能，按优先级将各委外的部分进行排产 + + +车间过程2-倒排+顺排2 +------------------- +仍然是先排锁定任务 + +把所有任务按照交期和最早开工日期进行倒排或顺排，不考虑资源的约束本身 【带来的问题是：资源优先级的选择】 + + +顺排的时候，按照job优先级 【指定 > 优先级】 +- 每一个job都按第一道工序其最早开工日期开始， + + + +车间过程3-按资源增量排产 +--------------------- +输入: 排产任务(MO+计划单) +输出: 各工序的排产资源与结果 +1. 筛选出主工单与部件工单，建立子部件的属性联系 +2. 筛选出主工单中的关键工序与非关键工序 +3. 初始化历史已排且其资源仍存在的关键工序的资源队列 +4. 对于新任务计划单或资源不存在的情况下, 重新分配任务. 完成资源中任务队列初始化 +5. 资源中任务队列重排 +6. 主工单非关键工序的前推后拉 +7. 部件工单和工序的前推 + + +可视化 +------------ +- 资源在时间线上的计划情况 +- 按订单，在时间线上的操作情况 + + +可视化重排 +------------------- +输入: 资源和资源任务队列顺序 +输出: +1. 初始化到增量排产队列任务 diff --git a/docs/source/conf.py b/docs/source/conf.py new file mode 100644 index 0000000..4953ee3 --- /dev/null +++ b/docs/source/conf.py @@ -0,0 +1,146 @@ +# Configuration file for the Sphinx documentation builder. +# +# This file only contains a selection of the most common options. For a full +# list see the documentation: +# https://www.sphinx-doc.org/en/master/usage/configuration.html + +# -- Path setup -------------------------------------------------------------- + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. + +import os +from pathlib import Path +import shutil +import sys + +from sphinx.application import Sphinx +from sphinx.ext.autosummary import Autosummary +from sphinx.pycode import ModuleAnalyzer + +SOURCE_PATH = Path(os.path.dirname(__file__)) # noqa # docs source +PROJECT_PATH = SOURCE_PATH.joinpath("../..") # noqa # project root + +sys.path.insert(0, str(PROJECT_PATH)) # noqa + +import lekin # isort:skip + +# -- Project information ----------------------------------------------------- + +project = "python-lekin" +copyright = "2022, Longxing Tan" +author = "Longxing Tan" + + +# -- General configuration --------------------------------------------------- + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "nbsphinx", + "recommonmark", + "sphinx_markdown_tables", + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.doctest", + "sphinx.ext.intersphinx", + "sphinx.ext.mathjax", + "sphinx.ext.viewcode", + "sphinx.ext.githubpages", + "sphinx.ext.napoleon", +] + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +# This pattern also affects html_static_path and html_extra_path. +exclude_patterns = [] + + +# -- Options for HTML output ------------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +# +html_theme = "alabaster" + + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + + +# setup configuration +def skip(app, what, name, obj, skip, options): + """ + Document __init__ methods + """ + if name == "__init__": + return True + return skip + + +apidoc_output_folder = SOURCE_PATH.joinpath("api") +PACKAGES = [lekin.__name__] + + +def get_by_name(string: str): + """ + Import by name and return imported module/function/class + Args: + string (str): module/function/class to import, e.g. 'pandas.read_csv' will return read_csv function as + defined by pandas + Returns: + imported object + """ + class_name = string.split(".")[-1] + module_name = ".".join(string.split(".")[:-1]) + + if module_name == "": + return getattr(sys.modules[__name__], class_name) + + mod = __import__(module_name, fromlist=[class_name]) + return getattr(mod, class_name) + + +class ModuleAutoSummary(Autosummary): + def get_items(self, names): + new_names = [] + for name in names: + mod = sys.modules[name] + mod_items = getattr(mod, "__all__", mod.__dict__) + for t in mod_items: + if "." not in t and not t.startswith("_"): + obj = get_by_name(f"{name}.{t}") + if hasattr(obj, "__module__"): + mod_name = obj.__module__ + t = f"{mod_name}.{t}" + if t.startswith("pytorch_forecasting"): + new_names.append(t) + new_items = super().get_items(sorted(new_names)) + return new_items + + +def setup(app: Sphinx): + app.add_css_file("custom.css") + app.connect("autodoc-skip-member", skip) + app.add_directive("moduleautosummary", ModuleAutoSummary) + app.add_js_file("https://buttons.github.io/buttons.js", **{"async": "async"}) + + +# autosummary +autosummary_generate = True +shutil.rmtree(SOURCE_PATH.joinpath("api"), ignore_errors=True) + + +# copy changelog +shutil.copy( + "../../CHANGELOG.md", + "CHANGELOG.md", +) diff --git a/docs/source/demand.rst b/docs/source/demand.rst new file mode 100644 index 0000000..a57a0af --- /dev/null +++ b/docs/source/demand.rst @@ -0,0 +1,3 @@ +demand +======================================== + diff --git a/docs/source/heuristics.rst b/docs/source/heuristics.rst new file mode 100644 index 0000000..3171229 --- /dev/null +++ b/docs/source/heuristics.rst @@ -0,0 +1,28 @@ +heuristics +============ + + +禁忌搜索 +------------ + + +遗传算法 +------------- + +遗传算法应用在排产中的关键就是如何将排产结果进行编码、以及如何计算fitness。 + +每一个可行解被称为一个染色体，一个染色体由多个元素构成，这个元素称为基因。 + +遗传算法应用在排产问题时，以及TSP、VRP等经典问题，模型的解不表示数量，而表示顺序。 +对于m个job，n个机器的排产问题。基因序列的长度是 m * n，因为每个job都需要在n台机器上加工。 + +两个序列表示模型的解，一个是工序的OS，一个是机器的MS。 +- 其中，OS基因序列的数值表示第i个job，这个数值第几次出现决定的是该job的第几道工序。 +- MS同理表示的选择的机器。 + + + +强化学习 +------------- + +Q-learning方法的关键是在agent探索过程中保存一个状态收益表。 diff --git a/docs/source/index.rst b/docs/source/index.rst new file mode 100644 index 0000000..276d1b3 --- /dev/null +++ b/docs/source/index.rst @@ -0,0 +1,75 @@ +.. python-lekin documentation master file, created by + sphinx-quickstart on Fri Sep 30 17:57:17 2022. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +python-lekin documentation +======================================== +.. raw:: html + + GitHub + + +**python-lekin** 是一个工厂智能排产调度工具，名字来源于`Lekin `_. + +组合优化基础 +------------- + +- 装箱问题(Bin Packing, BP) +- 背包问题(Knapsack Problem, KP) +- 车间调度问题(Job-shop Scheduling Problem, JSP) +- 整数规划问题(Integer Programming, IP) + +- 旅行商问题(Traveling Salesman Problem, TSP) +- 车辆路径问题(Vehicle Routing Problem, VRP) +- 图着色问题(Graph Coloring, GC) +- 图匹配问题(Graph Matching, GM) + + +- 精确算法：分支定界法(Branch and Bound)和动态规划法(Dynamic Programming) + +- 近似算法：近似算法(Approximate Algorithms)和启发式算法(Heuristic Algorithms) + - 贪心算法、局部搜索算法、线性规划、松弛算法、序列算法 + - 模拟退火算法、禁忌搜索、进化算法、蚁群优化算法、粒子群算法、迭代局部搜索、变邻域搜索 + + +车间排产快速入门 +--------------- + +排产是一个分配任务，将有限的资源分配给需求。因此需求需要有优先级，约束主要有产能约束与物料约束。产能约束，将订单中的成品按工艺路线分解为工序，而每一道工序有对应的生产机器；物料约束，将订单的成品按BOM(bill of materials)展开为原材料需求，每一道工序开始前需要对应原材料齐套。 + +下标，机器k kk加工为任务i ii后加工任务j jj + +其中，:math:`A_\text{c} = (\pi/4) d^2` + + +subject to: + +.. math:: \alpha{}_t(i) = P(O_1, O_2, … O_t, q_t = S_i \lambda{}) + +Flexible Job-Shop Scheduling problem（FJSP）包含两个任务 +- Machine assignment: 选择机器 +- Operation sequencing：工序顺序 + + +Finite Capacity Planning + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + rules + heuristics + rl + application + demand + api + GitHub + + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/docs/source/rl.rst b/docs/source/rl.rst new file mode 100644 index 0000000..2d0a87b --- /dev/null +++ b/docs/source/rl.rst @@ -0,0 +1,2 @@ +rl +========= diff --git a/docs/source/rules.rst b/docs/source/rules.rst new file mode 100644 index 0000000..ef8e91d --- /dev/null +++ b/docs/source/rules.rst @@ -0,0 +1,71 @@ +Rules +============ + +分为rule-based、event-based、resource-based两种思路。 + +SPT最短加工时间 +-------------------- + +按任务所需工序时间长短，从短到长顺序排列. +实现中，为保证工艺路径的先后约束关系，构造规则法通过循环的先后关系来保证满足约束。 + + +EDD最早预定交货期规则 +--------------------------- + +按生产任务规定完成时刻（预定交货期）的先后，从先到后顺次排列 + +SPT—EDD规则 +----------------- + +1）根据EDD规则安排D(max)为最小的方案。 +2）计算所有任务的总流程时间。 +3）查找方案中，预定交贷期（di）大于总流程时间的生产任务（不惟一），按SPT规则，将其中加工时间最大者排于最后。 +4）舍弃第3步能排定的最后任务者及其后序任务，回到第2步重复。 + + +关键路径法 +------------- + +关键路径是决定项目完成的最短时间，关键路径可能不止一条。 + +其基本概念： +最早开始时间 (Early start) +最晚开始时间 (Late start) +最早完成时间 (Early finish) +最晚完成时间 (Late finish) +松弛时间 (slack) + +正推方法确定每个任务的最早开始时间和最早完成时间，逆推方法确定每个任务的最晚完成时间和最晚开始时间。 + + +顺排 +------------- + +顺排和倒排，和其他规则启发式算法一样，一个工序集一个工序集的排。每排一个工序，工序job完成后，更新机器、job状态、后续job状态。 +顺排对下一道工序的约束是：最早开始时间 + +.. code-block:: python + backward(operations, next_op_start_until, with_material_kitting_constraint, align_with_same_production_line, latest_start_time, latest_end_time) -> remaining_operations: list[operations], + + +.. code-block:: python + assign_op(operation, is_critical, direction: str, ) -> chosen_resource, chosen_production_id, chosen_hours, + +在顺排中，排的比较紧密的资源往往就是瓶颈资源。 + +倒排 +--------------- + +每一个MO最早开始时间初始化：max(ESD, today)。确保开始时间不早于今天，或不早于资源日历最早开始时间 +倒排对下一道工序的约束是: 最晚结束时间 + +倒排 +- 从业务上可以减少库存, just-in-time +- 带来的结果是不连续 +- 影响连续排产的判断 +- 考虑物料齐套时，导致倒排可能需要一次次推倒重来 + + +.. code-block:: python + forward(operations, next_op_start_until, with_material_kitting_constraint, align_with_same_production_line, earliest_start_time, earliest_end_time) diff --git a/examples/__init__.py b/examples/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/examples/data/k1.json b/examples/data/k1.json new file mode 100644 index 0000000..1fdeef5 --- /dev/null +++ b/examples/data/k1.json @@ -0,0 +1,129 @@ +{ + "itineraries": [ + { + "itineraryName": "Itinerary 1", + "tasksList": [ + { + "taskName": "Task 1", + "taskMachine": { + "machineName": "M1" + }, + "taskDuration": 10.0 + }, + { + "taskName": "Task 2", + "taskMachine": { + "machineName": "M2" + }, + "taskDuration": 5.0 + }, + { + "taskName": "Task 3", + "taskMachine": { + "machineName": "M3" + }, + "taskDuration": 35.0 + } + ] + }, + { + "itineraryName": "Itinerary 2", + "tasksList": [ + { + "taskName": "Task 1", + "taskMachine": { + "machineName": "M2" + }, + "taskDuration": 25.0 + }, + { + "taskName": "Task 2", + "taskMachine": { + "machineName": "M1" + }, + "taskDuration": 5.0 + }, + { + "taskName": "Task 3", + "taskMachine": { + "machineName": "M3" + }, + "taskDuration": 30.0 + }, + { + "taskName": "Task 4", + "taskMachine": { + "machineName": "M4" + }, + "taskDuration": 15.0 + } + ] + }, + { + "itineraryName": "Itinerary 3", + "tasksList": [ + { + "taskName": "Task 1", + "taskMachine": { + "machineName": "M2" + }, + "taskDuration": 5.0 + }, + { + "taskName": "Task 2", + "taskMachine": { + "machineName": "M4" + }, + "taskDuration": 10.0 + } + ] + }, + { + "itineraryName": "Itinerary 4", + "tasksList": [ + { + "taskName": "Task 1", + "taskMachine": { + "machineName": "M2" + }, + "taskDuration": 15.0 + }, + { + "taskName": "Task 2", + "taskMachine": { + "machineName": "M3" + }, + "taskDuration": 10.0 + }, + { + "taskName": "Task 3", + "taskMachine": { + "machineName": "M4" + }, + "taskDuration": 20.0 + }, + { + "taskName": "Task 4", + "taskMachine": { + "machineName": "M1" + }, + "taskDuration": 10.0 + } + ] + } + ], + "machines": [ + { + "machineName": "M1" + }, + { + "machineName": "M2" + }, + { + "machineName": "M3" + }, + { + "machineName": "M4" + } + ] +} diff --git a/examples/genetic_example.py b/examples/genetic_example.py new file mode 100644 index 0000000..e69de29 diff --git a/examples/rule_example.py b/examples/rule_example.py new file mode 100644 index 0000000..46d0cb3 --- /dev/null +++ b/examples/rule_example.py @@ -0,0 +1,101 @@ +import json +import logging + +from lekin.dashboard.gantt import get_scheduling_res_from_all_jobs, plot_gantt_chart +from lekin.lekin_struct import ( + Job, + JobCollector, + Operation, + OperationCollector, + Resource, + ResourceCollector, + Route, + RouteCollector, +) +from lekin.solver.construction_heuristics import BackwardScheduler, ForwardScheduler, LPSTScheduler, SPTScheduler + +logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.DEBUG) + + +def prepare_data(file_path="./data/k1.json"): + with open(file_path, "r", encoding="utf8") as file: # read file from path + data = json.loads(file.read()) + + job_collector = JobCollector() + # operation_collector = OperationCollector() + route_collector = RouteCollector() + resource_collector = ResourceCollector() + + if list(data.keys()) == ["itineraries", "machines"]: + resources = data["machines"] # is first level structure is correct, then split + routes = data["itineraries"] + + # parse the resource + for re in resources: + re_name = re["machineName"] + re_id = int(re_name.replace("M", "")) + resource = Resource(resource_id=re_id, resource_name=re_name) + resource_collector.add_resource_dict({re_id: resource}) + # print([i.resource_id for i in resource_collector.get_all_resources()]) + # print(resource_collector.get_all_resources()[0].available_hours) + + # parse the job and route + for ro in routes: + # ro_name = ro["itineraryName"] + ro_id = int(ro["itineraryName"].replace("Itinerary ", "")) + route = Route(route_id=ro_id) + operations_sequence = [] + for ta in ro["tasksList"]: + op_name = ta["taskName"] + op_id = ta["taskName"].replace("Task ", "") + + op_pt = ta["taskDuration"] + + op_tm = [] + if isinstance(ta["taskMachine"], list): + for re in ta["taskMachine"]: + re_name = re["machineName"] + re_id = int(re_name.replace("M", "")) + op_tm.append(resource_collector.get_resource_by_id(re_id)) + else: + re_name = ta["taskMachine"]["machineName"] + re_id = int(re_name.replace("M", "")) + op_tm.append(resource_collector.get_resource_by_id(re_id)) + + operations_sequence.append( + Operation( + operation_id=op_id, + operation_name=op_name, + quantity=1, + processing_time=op_pt, + parent_job_id=ro_id, # route defines job here + available_resource=op_tm, + ) + ) + + route.operations_sequence = operations_sequence + route_collector.add_route(route) + + job_collector.add_job(Job(job_id=ro_id, assigned_route_id=ro_id)) + + # print(resources) + # print(routes) + + return job_collector, resource_collector, route_collector + + +def run_scheduling(job_collector, resource_collector, route_collector): + # scheduler = ForwardScheduler(job_collector, resource_collector, route_collector) + scheduler = BackwardScheduler(job_collector, resource_collector, route_collector) + + scheduler.run() + return + + +if __name__ == "__main__": + job_collector, resource_collector, route_collector = prepare_data(file_path="./data/k1.json") + run_scheduling(job_collector, resource_collector, route_collector) + + scheduling_res = get_scheduling_res_from_all_jobs(job_collector) + print(scheduling_res) + plot_gantt_chart(job_collector, scheduling_res) diff --git a/lekin/__init__.py b/lekin/__init__.py new file mode 100644 index 0000000..a743725 --- /dev/null +++ b/lekin/__init__.py @@ -0,0 +1,12 @@ +from lekin.datasets.get_data import get_data + +# from lekin.lekin_struct.job import Job +# from lekin.lekin_struct.machine import Machine +# from lekin.lekin_struct.operation import Operation +# from lekin.lekin_struct.route import Route +from lekin.scheduler import Scheduler +from lekin.solver.meta_heuristics import Heuristics + +__all__ = ["Job", "Machine", "Route", "Operation", "Scheduler", "get_data"] + +__version__ = "0.0.0" diff --git a/lekin/dashboard/__init__.py b/lekin/dashboard/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/lekin/dashboard/gantt.py b/lekin/dashboard/gantt.py new file mode 100644 index 0000000..c3caabc --- /dev/null +++ b/lekin/dashboard/gantt.py @@ -0,0 +1,70 @@ +""" +Gantt +""" + +import logging +from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union + +from matplotlib import ticker +import matplotlib.patches as patches +import matplotlib.pyplot as plt +import pandas as pd + +logging.getLogger("matplotlib.font_manager").disabled = True + + +def get_scheduling_res_from_all_jobs(job_collector): + ops = [] + for job in job_collector.job_list: + ops += job.operations + + scheduling_res = [] + for op in ops: + scheduling_res.append( + [ + op.operation_id, + op.parent_job_id, + op.quantity, + op.assigned_resource.resource_id, + min(op.assigned_hours), + max(op.assigned_hours), + ] + ) + scheduling_res = pd.DataFrame(scheduling_res, columns=["Operation", "Job", "Quantity", "Resource", "Start", "End"]) + scheduling_res["Duration"] = scheduling_res["End"] - scheduling_res["Start"] # + 1 + return scheduling_res + + +def plot_gantt_chart(job_collector, scheduling_res): + color_dict = job_collector.generate_color_list_for_jobs() + + # gantt + resource_list = [] + for resource, group in scheduling_res.groupby("Resource"): + resource_list.append(resource) + start_tuple = [] + color_tuple = [] + for _, op in group.iterrows(): + start_tuple.append(op[["Start", "Duration"]].tolist()) + color_tuple.append(color_dict.get(op["Job"])) + + plt.gca().broken_barh(start_tuple, ((resource + 1) * 10, 9), facecolors=color_tuple) + + # legend + legends_colors = [] + for job in job_collector.job_list: + legends_colors.append(patches.Patch(color=color_dict.get(job.job_id), label=f"job{job.job_id}")) + plt.legend(handles=legends_colors, fontsize=8) + + # resource tick + resources = resource_list # list(reversed(resource_list)) + resource_ticks = [15] + for i in range(len(resources)): + resource_ticks.append(resource_ticks[i] + 10) # machine increase + 10 + plt.yticks(resource_ticks[1:], resources) + + plt.grid(True) + plt.xlabel("Time") + plt.ylabel("Resources") + plt.title("Gantt Chart - Scheduling Result") + plt.show() diff --git a/lekin/dashboard/pages.py b/lekin/dashboard/pages.py new file mode 100644 index 0000000..51f2925 --- /dev/null +++ b/lekin/dashboard/pages.py @@ -0,0 +1,3 @@ +from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union + +import streamlit as st diff --git a/lekin/datasets/__init__.py b/lekin/datasets/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/lekin/datasets/check_data.py b/lekin/datasets/check_data.py new file mode 100644 index 0000000..c1c8cab --- /dev/null +++ b/lekin/datasets/check_data.py @@ -0,0 +1,15 @@ +"""Check the input job shop format and necessary information""" + +import logging + + +def check_data(data): + if data.keys() != ["routes", "machines"]: + logging.error("key") + + if len(data["machines"]) < 1: + logging.error("machine") + if len(data["routes"]) < 1: + logging.error("route") + + return diff --git a/lekin/datasets/get_data.py b/lekin/datasets/get_data.py new file mode 100644 index 0000000..715ca63 --- /dev/null +++ b/lekin/datasets/get_data.py @@ -0,0 +1,13 @@ +"""Generate the example jobshoppro""" + +import json +import logging + + +def get_data(name): + # machine_list = [] + # route_list = [] + if name == "simple": + pass + + return diff --git a/lekin/datasets/parse_data.py b/lekin/datasets/parse_data.py new file mode 100644 index 0000000..e69de29 diff --git a/lekin/forecast/__init__.py b/lekin/forecast/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/lekin/lekin_struct/__init__.py b/lekin/lekin_struct/__init__.py new file mode 100644 index 0000000..10496be --- /dev/null +++ b/lekin/lekin_struct/__init__.py @@ -0,0 +1,15 @@ +""" +https://gitee.com/EnCode/APS?_from=gitee_search#%E5%BB%BA%E6%A8%A1 + +工厂：订单 +车间：工单 +班组：工序 +操作动作：动作 + +""" + +from lekin.lekin_struct.job import Job, JobCollector # 成品需求 +from lekin.lekin_struct.operation import Operation, OperationCollector # 工序 +from lekin.lekin_struct.resource import Resource, ResourceCollector # 机器 +from lekin.lekin_struct.route import Route, RouteCollector +from lekin.lekin_struct.timeslot import TimeSlot diff --git a/lekin/lekin_struct/job.py b/lekin/lekin_struct/job.py new file mode 100644 index 0000000..88667f8 --- /dev/null +++ b/lekin/lekin_struct/job.py @@ -0,0 +1,154 @@ +""" +Struct Job/订单作业 + - a job could finish one product while finished + - job/mo/operation/activity +""" + +from datetime import datetime +import random +from typing import Any, Callable, Dict, List, Optional, Tuple + +from lekin.lekin_struct.operation import Operation + +random.seed(315) + + +class Job(object): + def __init__( + self, + job_id: str, + priority: int = None, + quantity: int = None, + demand_date: datetime = None, + job_type: str = None, + earliest_start_time=None, + assigned_route_id=None, + assigned_bom_id=None, + **kwargs: Dict, + ) -> None: + self.job_id: str = job_id + self.priority: int = priority + self.demand_date: datetime = demand_date + self.quantity: int = quantity + self.job_type: str = job_type + self.earliest_start_time: datetime = earliest_start_time # Material constraint + # cached scheduling result until the whole job is finished + self.cached_scheduling: dict = {} + self.assigned_route_id: str = assigned_route_id # Route object assigned to this job + self.assigned_bom_id: str = assigned_bom_id + self.current_operation_index: int = 0 # Record the current processing operation + self._operations_sequence: List[Operation] = [] # List of Operation objects for this job + + for key, value in kwargs.items(): + setattr(self, key, value) + + def assign_route(self, route_id): + self.assigned_route_id = route_id + + @property + def operations(self): + return self._operations_sequence + + def ger_next_operation(self): + if self.current_operation_index < len(self._operations_sequence): + return self._operations_sequence[self.current_operation_index] + else: + return None + + def assign_cached_scheduling(self): + """assign all cached scheduling officially while all ops are fine""" + pass + + def clear_cached_scheduling(self, all, start, dir): + """clear the cached scheduling result""" + pass + + @operations.setter + def operations(self, operations_sequence): + self._operations_sequence = operations_sequence + + def __eq__(self, other): + return + + def __hash__(self): + return + + def __str__(self): + return f"{self.job_id}" + + +class JobCollector: + def __init__(self): + self.job_list = [] # List to store Job objects + self.color_dict = dict() # List to store colors for job + self.index = -1 + # self.route_list = [] + # self.operation_list = [] + # self.resource_list = [] + # self.time_slot_list = [] + + def __iter__(self): + return self + + def __next__(self): + self.index += 1 + if self.index < len(self.job_list): + return self.job_list[self.index] + else: + raise StopIteration("Stop") + + def add_job(self, job: Job) -> None: + self.job_list.append(job) + + def get_job_by_id(self, job_id: str): + for job in self.job_list: + if job.job_id == job_id: + return job + return None + + def sort_jobs(self, jobs): + # Custom sorting function based on priority and continuity + def custom_sort(job): + priority_weight = (job.priority, job.demand_date) + # continuity_weight = -self.calculate_gap_time(job) + return priority_weight # + continuity_weight + + # jobs = sorted(jobs, key=custom_sort, reverse=True) + return [i[0] for i in sorted(enumerate(jobs), key=lambda x: custom_sort(x[1]), reverse=False)] + + def get_schedule(self): + schedule = {} + + for resource in self.resource_list: + scheduled_operations = [] + for operation in self.operation_list: + if operation.resource == resource: + scheduled_operations.append({"operation_id": operation.id, "start_time": operation.start_time}) + + if scheduled_operations: + schedule[resource.id] = scheduled_operations + + return schedule + + def generate_color_list_for_jobs(self, pastel_factor=0.5): + for job in self.job_list: + max_distance = None + best_color = None + for i in range(0, 100): + color = [ + (x + pastel_factor) / (1.0 + pastel_factor) for x in [random.uniform(0, 1.0) for i in [1, 2, 3]] + ] + if color not in self.color_dict.values(): + best_color = color + break + else: + best_distance = min([self.color_distance(color, c) for c in self.color_dict.values()]) + if not max_distance or best_distance > max_distance: + max_distance = best_distance + best_color = color + self.color_dict.update({job.job_id: best_color}) + return self.color_dict + + @staticmethod + def color_distance(c1, c2): + return sum([abs(x[0] - x[1]) for x in zip(c1, c2)]) diff --git a/lekin/lekin_struct/material.py b/lekin/lekin_struct/material.py new file mode 100644 index 0000000..5501117 --- /dev/null +++ b/lekin/lekin_struct/material.py @@ -0,0 +1,7 @@ +""" +material struct +- 物料属于需求的属性，连续排产时根据物料进行判断 +""" + +a = 1 +print(f"Schedule Job {a}/{a} backwards, " f"Num of ops: {a}, " "Demand date {a}, " "Priority {a}, " "Material {a}") diff --git a/lekin/lekin_struct/operation.py b/lekin/lekin_struct/operation.py new file mode 100644 index 0000000..2979741 --- /dev/null +++ b/lekin/lekin_struct/operation.py @@ -0,0 +1,146 @@ +""" +Operation Struct +op: 单个工单或新增需求的某一道工序 +GroupOP: 单个需求或多个需求必须在一起的一道工序 +MaterialOP: 同一物料多个需求的一道工序 +""" + +from typing import Any, Callable, Dict, List, Optional, Tuple, Union + + +class Operation: + def __init__( + self, + operation_id: str, + operation_name: str, + quantity: int, + beat_time: Union[int, List[int], float, List[float]], + processing_time: Union[int, List[int], float, List[float]], + pre_time: float = 0, # setup times + post_time: float = 0, + lead_time: float = 0, + lag_time: float = 0, + route_constraint=None, + available_resource=None, + available_resource_priority=None, + parent_job_id=None, + prev_operation_ids=None, + next_operation_ids=None, + **kwargs, + ): + self.operation_id = operation_id + self.operation_name = operation_name + self.quantity = quantity + self.beat_time = beat_time + self.processing_time = processing_time + self.pre_time = pre_time + self.post_time = post_time + self.lead_time = lead_time + self.lag_time = lag_time + # self.demand_time = demand_time + self.route_constraint = route_constraint + self.available_resource = available_resource + self.available_resource_priority = available_resource_priority + self.parent_job_id = parent_job_id + self.prev_operation_ids = prev_operation_ids # predecessors + self.next_operation_ids = next_operation_ids # successors + + self.earliest_start_time = None + self.latest_start_time = None + self.earliest_end_time = None + self.latest_end_time = None + + self.statue = "none" # none -> waiting -> pending -> done + self.assigned_resource = None # Track the assigned resource + self.assigned_time_slot = None # Track the assigned time slot + + for key, value in kwargs.items(): + setattr(self, key, value) + + # Add a method to calculate granularity metric based on processing time and available time slot + def calculate_granularity_metric(self, available_time_slot): + # Calculate the granularity metric based on processing time and available time slot + pass + + def is_finished(self): + return self.assigned_resource is not None + + def __str__(self): + return f"{self.operation_id}-{self.operation_name}" + + +class JobOperations(object): + """Operations from same job""" + def __init__(self, operation_list): + pass + + @property + def job(self): + return + + +class MaterialOperation(object): + """ + 排产时, MaterialOperation, JobOperation, Operation是三层抽象结构 + resource.assigned_material_op = list[MaterialOperation] + """ + def __init__(self, job_operation_list): + pass + + @property + def material(self): + return + + +class OperationCollector: + def __init__(self): + self.operation_list = [] # List to store Operation objects + + def add_operation(self, operation): + self.operation_list.append(operation) + + def get_operation_by_id(self, operation_id): + for operation in self.operation_list: + if operation.operation_id == operation_id: + return operation + return None + + def get_operations_by_job_and_route(self, job_list, route_list): + assert len(job_list) == len(route_list) + + for job, route in zip(job_list, route_list): + # Get the operations for the current job and route + # route = route_list[route_index] + job_operations = route.get_operations() + + # Fill in the job_id for each operation + for i, operation in enumerate(job_operations): + if i > 0: + operation.parent_operation_id = job_operations[i - 1].operation_id + if i < len(job_operations) - 1: + operation.next_operation_id = job_operations[i + 1].operation_id + + operation.job_id = job.job_id + + # Extend the list of all operations with the current job's operations + self.operation_list.extend(job_operations) + + # Assign the operations to the current job + job.operations = job_operations + return self.operation_list + + # def get_operations_by_job_and_route(self, job_list, route_list): + # assert len(job_list) == len(route_list) + # operation_list = [] + # for operation in self.operations: + # if operation.parent_operation_id is None and operation.route_id == route_id: + # # If the operation is the first operation in the route + # current_operation = operation + # while current_operation: + # if current_operation.job_id == job_id: + # job_operations.append(current_operation) + # next_operation_id = current_operation.next_operation_id + # current_operation = next( + # (op for op in self.operations if op.operation_id == next_operation_id), None + # ) + # return job_operations diff --git a/lekin/lekin_struct/relation.py b/lekin/lekin_struct/relation.py new file mode 100644 index 0000000..113bb77 --- /dev/null +++ b/lekin/lekin_struct/relation.py @@ -0,0 +1,18 @@ +""" +工序之间的关系（工业工程） +ES: 前工序完成后，后工序开始 +ES-Split: 前工序分割后，后工序应在所有分割工作完成后开始 +SS: 前后工序可以同时开始。即进程的“异步”关系 +SS-Split: 前工序分割后，后工序和最后一个分割工作同时开始 +EE: 后工序制造时间（自定义制造时间短）小于前工序，前后工序一起结束 +EE-SS: 后工序制造时间（自定义制造时间长）大于前工序，后工序开始时间不能超过前工序开始时间，所以前后工序一起开始后，无法保证前后工序一起结束。 +EE-Split: 后工序制造时间和前分割工序时间长度进行比较 +""" + + +class OpRelation(object): + def __init__(self) -> None: + pass + + def calculate(self, type: str): + return diff --git a/lekin/lekin_struct/resource.py b/lekin/lekin_struct/resource.py new file mode 100644 index 0000000..0e517d1 --- /dev/null +++ b/lekin/lekin_struct/resource.py @@ -0,0 +1,265 @@ +""" +Resource/Machine Struct +""" + +import math +from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union + +import numpy as np +import pandas as pd + +from lekin.lekin_struct.timeslot import TimeSlot + + +class Resource: + def __init__(self, resource_id, resource_name=None, max_tasks=1, **kwargs): + self.resource_id = resource_id + self.resource_name = resource_name + self.max_tasks = max_tasks # maximum task can be done in same time, capacity + self.tasks = {time_slot: None for time_slot in range(1, max_tasks + 1)} + self._available_timeslots = [] + self._available_hours = [] + + self.assigned_operations = [] + self.assigned_time_slots = [] + self.assigned_hours = [] + self.pending_list = [] # 临时缓冲区 + self.changeover_number = None # number of times + self.changeover_time = None # total time costs + + for key, value in kwargs.items(): + setattr(self, key, value) + + def add_timeslot(self, start_time, end_time): + self._available_timeslots.append(TimeSlot(start_time, end_time)) + self._available_hours += TimeSlot(start_time, end_time).hours + + def add_available_hours(self, hours): + self._available_hours = hours + + @property + def available_hours(self): + return self._available_hours + + @available_hours.setter + def available_hours(self, available_hours): + self._available_hours = available_hours + + def init_job_op_from_op(self): + """op-> job_op""" + pass + + def init_material_op_from_group_op(self): + """group_op-> material_op""" + pass + + def update_op_from_material_op(self): + """material_op -> op""" + pass + + def get_available_timeslot_for_op(self, start=None, end=None, periods=None, freq="1H", forward=True): + self.update_continuous_empty_hours() + select_hours = [i for i in self.available_hours if i <= end] + + assert len(self.available_hours) == len(self.continuous_empty_hours) + front_available = self.continuous_empty_hours[: len(select_hours)] + + chosen_hours_index = self.find_last_index_larger(periods, front_available) + + if not chosen_hours_index: + back_available = self.continuous_empty_hours[len(select_hours) :] + chosen_hours_index = self.find_first_index_larger(periods, back_available) + + if chosen_hours_index: + chosen_hours = self.available_hours[int(chosen_hours_index - periods) : chosen_hours_index] + return chosen_hours + else: + return [] + + def get_earliest_available_time(self, duration=None, start=None): + if len(self.available_hours) > len(self.assigned_hours): + return min(set(self.available_hours).difference(set(self.assigned_hours))) + else: + return None + + def get_latest_available_time(self, duration=None, end=None): + self.update_continuous_empty_hours() + return max([i + 1 for (i, v) in enumerate(self.continuous_empty_hours[:end]) if v >= duration]) + + def update_continuous_empty_hours(self): + if len(self.available_hours) != len(self._available_timeslots): + pass + if len(self.assigned_hours) != len(self.assigned_time_slots): + pass + + # for hours_list in self.available_hours: + empty_hours = [] + continuous_hours = 0 + + for hour in self.available_hours: + if hour in self.assigned_hours: # Hour is not available + continuous_hours = 0 + else: + continuous_hours += 1 + empty_hours.append(continuous_hours) + self.continuous_empty_hours = empty_hours + + def find_first_index_larger(self, input_value, lists): + for j, value in enumerate(lists): + if value > input_value: + return j + return None # If no value is larger than the input + + def find_last_index_larger(self, input_value, lists): + lists = lists[::-1] + for j, value in enumerate(lists): + if value > input_value: + return len(lists) - j + return None + + def get_available_time_slots_within_time(self, start=None, end=None, periods=None, freq="1H", forward=True): + available_hours = [] + + # check_periods = pd.date_range(start=start, end=end, periods=periods, freq=freq) + # if not forward: + # check_periods = check_periods[::-1] + # occupied_periods = [i.hours for i in self.assigned_time_slot] + # for period in check_periods: + # if period not in occupied_periods: + # available_hours.append(period) + # else: # considering the continuous assignment + # break + + # all_available_end_time = [slot.end_time for slot in self.available_timeslots] + # just_in_time_end_time_slot = max([i for i in all_available_end_time if i <= end]) + if forward: + selected_time_slot = [i for i in self.available_timeslots if i.start_time >= start] + else: + selected_time_slot = [i for i in self.available_timeslots if i.end_time <= end][::-1] + + # print(just_in_time_end_time_slot) + # print([i.start_time for i in self.available_timeslots]) + # print([i.end_time for i in self.available_timeslots]) + # print(self.available_timeslots[0].hours) + + left_periods = periods + + for time_slot in selected_time_slot: + if left_periods <= 0: + break + + if start and time_slot.start_time < start: + continue + + if end and time_slot.start_time >= end: + break + + # if forward: + # current_time = max(start, time_slot.start_time) + # else: + # current_time = min(end, time_slot.end_time) + + if time_slot in self.assigned_time_slot: + break + + if time_slot.duration_of_hours < left_periods: + available_hours += time_slot.hours + left_periods -= time_slot.duration_of_hours + + else: + available_hours += time_slot.hours[-math.ceil(left_periods) :] + break + # + # print(left_periods, available_hours) + + # for current_time in range(max(start, time_slot.start_time), + # min(end, time_slot.end_time - period) + 1): + # if all(self.is_available(current_time + offset, current_time +offset+1) for offset in range(periods)): + # available_hours.append(current_time) + + return available_hours + + def is_available(self, start_time, end_time): + for assigned_time_slot in self.assigned_time_slots: + if not (end_time <= assigned_time_slot.start_time or start_time >= assigned_time_slot.end_time): + return False + return True + + def get_unoccupied_time_slots_within_time(self): + unoccupied_slots = [] + prev_end_time = None + for time_slot in self.time_slots: + if not time_slot.is_occupied(): + if prev_end_time: + # Check if there is a gap between unoccupied time slots + if time_slot.start_time > prev_end_time: + unoccupied_slots.append(TimeSlot(prev_end_time, time_slot.start_time)) + unoccupied_slots.append(time_slot) + prev_end_time = time_slot.end_time + return unoccupied_slots + + def merge_schedules(self): + # Sort timeslots based on start time + self.timeslots.sort(key=lambda x: x.start_time) + + merged_slots = [] + current_slot = None + + for slot in self.timeslots: + if not current_slot: + current_slot = slot + else: + # If the current slot and the next slot overlap, merge them + if current_slot.end_time >= slot.start_time: + current_slot.end_time = max(current_slot.end_time, slot.end_time) + else: + merged_slots.append(current_slot) + current_slot = slot + + if current_slot: + merged_slots.append(current_slot) + + self.timeslots = merged_slots + + def __hash__(self): + return hash(str(self)) + + def __str__(self): + return f"{self.resource_id}" + + def __eq__(self, other): + return self.resource_id == other.resource_id + + def __lt__(self, other): + return self.resource_id < other.resource_id + + +class ResourceCollector: + def __init__(self): + self.resources = {} + self.index = -1 + + def __iter__(self): + return self + + def __next__(self): + self.index += 1 + if self.index < len(self.resources): + return list(self.resources.values())[self.index] + else: + raise StopIteration("Stop") + + def add_resource_dict(self, resource: Resource): + self.resources.update({resource.resource_id: resource}) + + def get_resource_by_id(self, resource_id): + return self.resources.get(resource_id) + + def get_all_resources(self): + return list(self.resources.values()) + + def get_unoccupied_time_slots(self): + unoccupied_slots = [] + for resource in self.get_all_resources(): + unoccupied_slots.extend(resource.get_unoccupied_time_slots()) + return unoccupied_slots diff --git a/lekin/lekin_struct/route.py b/lekin/lekin_struct/route.py new file mode 100644 index 0000000..a4ea487 --- /dev/null +++ b/lekin/lekin_struct/route.py @@ -0,0 +1,59 @@ +""" +Route map Struct +""" + +from typing import Any, Callable, Dict, List, Optional, Tuple + +from lekin.lekin_struct.operation import Operation + + +class Route: + def __init__(self, route_id, operations_sequence=None, available_resources=None, **kwargs): + self.route_id = route_id + self.operations_sequence = operations_sequence # List of Operation objects + self.available_resources = available_resources # List of Resource objects representing available machines, + # When assigning operations to resources, check for resource availability and consider resource capacities + self.available_time_slots = [] # List of time slots when machines are available + + for key, value in kwargs.items(): + setattr(self, key, value) + + def add_operation(self, operation: Operation): + self.operations_sequence.append(operation) + + def get_operations(self) -> List[Operation]: + return self.operations_sequence + + def add_resource(self, resource): + self.available_resources.append(resource) + + def add_time_slot(self, time_slot): + self.available_time_slots.append(time_slot) + + def __repr__(self): + return ( + f"Route(route_id={self.route_id}, operation_ids={self.operations_sequence}," + f" resources_available={self.available_resources})" + ) + + +class RouteCollector: + def __init__(self): + self.routes = {} + self.index = -1 + + def __iter__(self): + return self + + def __next__(self): + self.index += 1 + if self.index < len(self.routes): + return list(self.routes.values())[self.index] + else: + raise StopIteration("Stop") + + def add_route(self, route): + self.routes[route.route_id] = route + + def get_route_by_id(self, route_id): + return self.routes.get(route_id, None) diff --git a/lekin/lekin_struct/timeslot.py b/lekin/lekin_struct/timeslot.py new file mode 100644 index 0000000..861f309 --- /dev/null +++ b/lekin/lekin_struct/timeslot.py @@ -0,0 +1,44 @@ +""" +Calendar for resource Struct +""" + +from datetime import datetime, timedelta +from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union + +import pandas as pd + + +class TimeSlot(object): + def __init__(self, start_time, end_time, **kwargs): + self.start_time = start_time + self.end_time = end_time + self.duration = end_time - start_time + self.assigned_operation = None + + for key, value in kwargs.items(): + setattr(self, key, value) + + def assign_operation(self, operation, processing_time): + self.assigned_operation = operation + self.end_time = self.start_time + timedelta(hours=processing_time) + + def is_occupied(self): + return self.assigned_operation is not None + + @property + def hours(self): + return pd.date_range(start=self.start_time, end=self.end_time, freq="1H").tolist()[:-1] + + @property + def duration_of_hours(self): + return len(pd.date_range(start=self.start_time, end=self.end_time, freq="1H")) - 1 + + def overlaps_with(self, timeslot): + overlap_start = max(self.start_time, timeslot.start_time) + overlap_end = min(self.end_time, timeslot.end_time) + + if overlap_start < overlap_end: + overlap_hours = (overlap_end - overlap_start).total_seconds() / 3600 + return overlap_hours + else: + return 0 diff --git a/lekin/objective/__init__.py b/lekin/objective/__init__.py new file mode 100644 index 0000000..428b4b1 --- /dev/null +++ b/lekin/objective/__init__.py @@ -0,0 +1,2 @@ +from lekin.objective.makespan import calculate_makespan +from lekin.objective.tardiness import calculate_tardiness diff --git a/lekin/objective/makespan.py b/lekin/objective/makespan.py new file mode 100644 index 0000000..c354ece --- /dev/null +++ b/lekin/objective/makespan.py @@ -0,0 +1,19 @@ +def calculate_makespan(job_collector): + for job in job_collector.job_list: + op = job.operations + job.makespan = op.assigned_hours[-1] + + if job.demand_date is not None: + job.tardiness = job.makespan - job.demand_date + return + + +def calculate_changeover_time(schedule_result, job_collector): + changeover_time = 0 + for resource in job_collector.resources: + previous_end_time = 0 + for operation in schedule_result: + if operation.resource == resource: + changeover_time += max(0, operation.start_time - previous_end_time) + previous_end_time = operation.end_time + return changeover_time diff --git a/lekin/objective/tardiness.py b/lekin/objective/tardiness.py new file mode 100644 index 0000000..785ea5e --- /dev/null +++ b/lekin/objective/tardiness.py @@ -0,0 +1,30 @@ +"""Tardiness total/maximum/weighted""" + + +def calculate_tardiness(schedule_result, job): + end_time = schedule_result[job.route.operations[-1]][1] + return max(0, end_time - job.demand_date) + + +def calculate_total_tardiness(schedule_result, jobs): + total_tardiness = 0 + for job in jobs: + total_tardiness += calculate_tardiness(schedule_result, job) + return total_tardiness + + +def calculate_total_late_jobs(schedule_result, jobs): + total_late_jobs = 0 + for job in jobs: + if calculate_tardiness(schedule_result, job) > 0: + total_late_jobs += 1 + return total_late_jobs + + +def calculate_total_late_time(schedule_result, jobs): + total_late_time = 0 + for job in jobs: + tardiness = calculate_tardiness(schedule_result, job) + if tardiness > 0: + total_late_time += tardiness + return total_late_time diff --git a/lekin/scheduler.py b/lekin/scheduler.py new file mode 100644 index 0000000..4662266 --- /dev/null +++ b/lekin/scheduler.py @@ -0,0 +1,25 @@ +"""Flexible job shop scheduler +Rescheduler due to inserted order or default machine +""" + +from collections import OrderedDict +import logging +from typing import Any, Callable, Dict, List, Optional, Tuple + +from lekin.datasets.check_data import check_data + + +class Scheduler(object): + def __init__(self, objective, solver, max_operations, **kwargs): + self.objective = objective + self.solver = solver + self.max_operations = max_operations + + def run(self, jobs, machines): + self.solver.solve(jobs, machines) + + def evaluate(self): + pass + + def plot(self): + pass diff --git a/lekin/solver/__init__.py b/lekin/solver/__init__.py new file mode 100644 index 0000000..cd5f2f6 --- /dev/null +++ b/lekin/solver/__init__.py @@ -0,0 +1,363 @@ +""" +交付 +连续 +均衡 +""" + +from datetime import datetime, timedelta +import heapq +from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union + +import pandas as pd + +from lekin.lekin_struct.operation import Operation + + +class CTPSolver(object): + def __init__(self, optimizers=None): + self.optimizers = optimizers + + def run(self, job_collector, route_list, resource_collector, operation_resource): + sorted_index = sort_jobs(job_collector.job_list) + job_list = [job_collector.job_list[i] for i in sorted_index] + + for i, job in enumerate(job_list): + route_id = job.assigned_route_id + route = None + for r in route_list: + if r.route_id == route_id: + route = r + break + if not route: + print(f"Route with ID '{job.assigned_route_id}' not found for Job ID '{job.job_id}'. Skipping job.") + continue + + operations_sequence = route.operations_sequence[::-1] # Reverse the operations in the route + print([i.operation_id for i in operations_sequence]) + + current_end_time = job.demand_date + + for operation in operations_sequence: + job_id = job.job_id + operation_id = operation.operation_id + + temp = operation_resource.loc[ + (operation_resource["产品ID"] == job_id) & (operation_resource["工序ID"] == operation_id) + ] + + operation.available_resource = [ + resource_collector.get_resource_by_id(i) for i in temp["资源需求组合ID"].tolist() + ] + operation.processing_time = temp["任务加工时长"].tolist() + operation.quantity = job.quantity + + print( + operation.operation_id, + operation.available_resource, + operation.processing_time, + operation.quantity, + current_end_time, + ) + + # 对于不同工序依赖进行更新 & calculate the time constraint + # Calculate earliest and latest start times based on demand time and route constraint + latest_end_time = current_end_time + if operation.next_operation_ids is not None: + pass + # get_operation_time_constraint() + + resource, start_time, end_time = find_best_resource_and_timeslot_for_operation( + operation, latest_end_time=latest_end_time + ) + + def reschedule_operation(self, operation): + # TODO: Implement dynamic rescheduling logic here, considering conflicts with other operations, + # resource availability, and any other relevant constraints. + pass + + +def sort_jobs(jobs): + # Custom sorting function based on priority and continuity + def custom_sort(job): + priority_weight = job.priority # You may adjust the weight based on your requirements + # continuity_weight = -self.calculate_gap_time(job) + return priority_weight # + continuity_weight + + # jobs = sorted(jobs, key=custom_sort, reverse=True) + return [i[0] for i in sorted(enumerate(jobs), key=lambda x: custom_sort(x[1]), reverse=False)] + + +def get_operation_time_constraint(): + # calculate the earliest start time and latest end time + return + + +def find_best_resource_and_timeslot_for_operation( + operation: Operation, earliest_start_time=None, latest_end_time=None, allowed_conflict=False +): + # assign operation + resource_timeslots_pq: List = [] # Create a priority queue to store the possible resource-time slot pairs + available_resource = operation.available_resource + # if operation.required_resource_priority is not None: + # required_resource.sort() # Sort by resource priority + + for i, resource in enumerate(available_resource): + # start_time = max(operation.prev_operation.end_time, earliest_start_time) + # end_time = min(start_time + operation.processing_time, latest_end_time) + + resource_all_available_end_time = [slot.end_time for slot in resource.available_timeslots] + just_in_time_end_time_slot = max([i for i in resource_all_available_end_time if i <= latest_end_time]) + print(latest_end_time, just_in_time_end_time_slot) + + if hasattr(operation.beat_time, "__iter__"): + working_hours = (operation.beat_time[i] * operation.quantity) / 60 + + unoccupied_hours = resource.get_available_time_slots_within_time() + if unoccupied_hours >= working_hours: + # assign + pass + else: + pass + + # required processing time and time slot + + just_in_time_slot = find_time_slots(resource, operation, "just_in_time") + if just_in_time_slot: + evaluation_score = calculate_evaluation_score(operation, just_in_time_slot, resource) + heapq.heappush(resource_timeslots_pq, (evaluation_score, resource, just_in_time_slot)) + + # If no "just in time" time slot is found, search for available time slots in the past + if not resource_timeslots_pq: + past_time_slots = find_time_slots(resource, operation, "history") + for timeslot in past_time_slots: + evaluation_score = calculate_evaluation_score(operation, timeslot, resource) + heapq.heappush(resource_timeslots_pq, (evaluation_score, resource, timeslot)) + + # If still no suitable time slot is found, look for available time slots in the future + # if in future, all the next operation need to be rescheduling forwards + if not resource_timeslots_pq: + future_time_slots = find_time_slots(resource, operation, "future") + for timeslot in future_time_slots: + evaluation_score = calculate_evaluation_score(operation, timeslot, resource) + heapq.heappush(resource_timeslots_pq, (evaluation_score, resource, timeslot)) + + if resource_timeslots_pq: + _, chosen_resource, chosen_timeslot = heapq.heappop(resource_timeslots_pq) + operation.assigned_resource = chosen_resource + operation.assigned_timeslot = chosen_timeslot + resource.available_timeslots -= chosen_timeslot + return True + + +def find_just_in_time_slots(resource, num_time_slots, duration_hours, job_demand_date): + available_slots = resource.get_available_time_slots() + just_in_time_slots = [] + + for slot in available_slots: + slot_end = slot + duration_hours + if slot_end <= job_demand_date: + just_in_time_slots.append(slot) + if len(just_in_time_slots) >= num_time_slots: + break + + return just_in_time_slots + + +def find_time_slots(resource, operation, time_slot_type, latest_end_time, working_hours): + # Find available time slots in the resource for the operation. + # The time_slot_type can be 'just_in_time', 'history', or 'future'. + end_time = [slot.end_time for slot in resource.time_slots] + time_slots = [] + if time_slot_type == "just_in_time": + # Find a "just in time" time slot where the operation can finish just before the job's demand date. + + resource_all_available_end_time = [slot.end_time for slot in resource.available_timeslots] + just_in_time_end_time_slot = max([i for i in resource_all_available_end_time if i <= latest_end_time]) + unoccupied_hours = resource.get_available_time_slots_within_time(just_in_time_end_time_slot) + if unoccupied_hours >= working_hours: + duration_hours = 0 + for slot in unoccupied_hours[::-1]: + time_slots.append(slot) + duration_hours += len(slot.hours) + + if duration_hours >= working_hours: + break + + elif time_slot_type == "history": + # Find available time slots in the past that allow the operation to finish before the demand date. + past_time_slots = [] + for slot in resource.timeslots: + if slot.end_time <= end_time: + past_time_slots.append(slot) + return past_time_slots + elif time_slot_type == "future": + # Find available time slots in the future that allow the operation to finish before the demand date. + future_time_slots = [] + for slot in resource.timeslots: + if slot.start_time >= end_time: + future_time_slots.append(slot) + return future_time_slots + else: + raise ValueError("Invalid time_slot_type. It should be 'just_in_time', 'history', or 'future'.") + + +def calculate_evaluation_score(self, operation, timeslots, resource): + # Implement evaluation function here, consider factors like changeover time, priority, lead time, etc. + # The evaluation function should consider conflicts with other operations and + # prioritize the best resource and timeslot sequence + priority_score = operation.priority + changeover_score = self.calculate_total_changeover_score(operation, timeslots, resource) + + return priority_score + changeover_score + + +def calculate_conflicts_hours(resource, operation): + for op in resource.assigned_operation: + if operation.time_slot.overlaps_with(op.time_slot): + # Handle conflict: Apply resolution strategy + # adjust_start_times(operations[i], operations[j]) + pass + return + + +def calculate_delay_hours(operation): + pass + + +def calculate_total_changeover_score(resource, operation, timeslots): + # Implement your total changeover calculation + # calculate the changeover time between the current operation and the previous one in the resource's task sequence + + # Example: A simple total changeover calculation based on processing time of the previous operation + total_changeover_time = 0 + if resource.assigned_operation: + previous_operation = resource.task_sequence[-1].operation + for timeslot in timeslots: + total_changeover_time += abs(previous_operation.processing_time - operation.processing_time) + + return total_changeover_time + + +class ConflictResolver: + def __init__(self, resources): + self.resources = resources + + def merge_and_resolve(self): + # Merge backward and forward schedules + for resource in self.resources: + resource.merge_schedules() + + # Resolve conflicts + for resource in self.resources: + self.resolve_conflicts(resource) + + def resolve_conflicts(self, resource): + # Find overlapping operations on the same resource at the same time + overlapping_ops = self.find_overlapping_operations(resource) + + # Resolve conflicts + for op1, op2 in overlapping_ops: + # Adjust the start or end time of operations to resolve conflicts + self.adjust_times_for_conflict(op1, op2) + + def find_overlapping_operations(self, resource): + overlapping_ops = [] + for time_slot in resource.schedules: + ops_in_timeslot = resource.schedules[time_slot] + if len(ops_in_timeslot) > 1: + # Multiple operations in the same time slot indicate a conflict + for i in range(len(ops_in_timeslot)): + for j in range(i + 1, len(ops_in_timeslot)): + overlapping_ops.append((ops_in_timeslot[i], ops_in_timeslot[j])) + return overlapping_ops + + def adjust_times_for_conflict(self, op1, op2): + # Implement your logic to adjust the start or end time of operations + # based on your specific requirements and constraints. + # You can consider factors like priority, changeovers, lead times, etc. + # For example, you might want to adjust the end time of op1 or the start time of op2. + # Check if op2 starts before op1 ends + if op2.start_time < op1.end_time: + # Calculate the time difference between op2's start time and op1's end time + time_difference = op1.end_time - op2.start_time + + # Update op2's start time to be after op1's end time + op2.start_time += time_difference + + # Adjust the end time of the job if it exceeds the demand date + if op2.end_time > op2.job.demand_date: + op2.job.demand_date = op2.end_time + + def resolve_conflicts2(self): + # Sort operations by their route requirements and processing time + self.operations.sort(key=lambda op: (op.route.priority, op.processing_time)) + + for operation in self.operations: + # Find a suitable time slot for the operation + suitable_time_slot = self.find_suitable_time_slot(operation) + + if suitable_time_slot is not None: + # Assign the operation to the resource and time slot + operation.resource = suitable_time_slot.resource + operation.time_slot = suitable_time_slot + + # Update resource's assigned operations + suitable_time_slot.resource.assign_operation(operation) + + def find_suitable_time_slot(self, operation): + # Sort available time slots based on priority, earliest start time, and resource availability + available_time_slots = sorted( + self.resources, + key=lambda resource: ( + resource.priority, + resource.get_earliest_start_time(), + resource.get_latest_end_time(), + ), + ) + + for time_slot in available_time_slots: + # Check if the resource's time slot is compatible with the operation's route + if time_slot.resource.is_compatible_route(operation.route): + # Check if there are any conflicts with other operations in the time slot + if not time_slot.has_conflicts(operation.processing_time): + return time_slot + + return None # No suitable time slot found + + +# -- +# +# for start_index in range(len(resource.timeslots) - operation.required_time_slots + 1): +# # Check if consecutive time slots can accommodate the entire operation +# can_accommodate = True +# for i in range(operation.required_time_slots): +# timeslot = resource.timeslots[start_index + i] +# if self.check_timeslot_conflict(resource, timeslot): +# can_accommodate = False +# break +# +# if can_accommodate: +# end_index = start_index + operation.required_time_slots - 1 +# evaluation_score = self.calculate_evaluation_score(operation, +# resource.timeslots[start_index:end_index + 1], +# resource) +# heappush(priority_queue, (evaluation_score, resource, resource.timeslots[start_index:end_index + 1])) +# +# if end_time >= start_time + processing_time: +# delay_time = max(0, operation.job.demand_date - end_time) +# changeover_time = self.calculate_changeover_time(last_operation, resource) +# priority_score = delay_time + changeover_time + resource.priority +# heapq.heappush(resource_timeslots, (priority_score, resource, start_time, end_time)) +# +# while resource_timeslots: +# _, resource, start_time, end_time = heapq.heappop(resource_timeslots) +# +# # Create a temporary timeslot for the operation +# temp_timeslot = Timeslot(start_time, end_time) +# +# # Check if the time slot overlaps with any of the previous task's timeslots +# if not self.check_timeslot_conflict(resource, temp_timeslot): +# # Assign the operation to the current resource and timeslot +# operation.assigned_resource = resource +# operation.assigned_timeslot = temp_timeslot +# return diff --git a/lekin/solver/construction_heuristics/__init__.py b/lekin/solver/construction_heuristics/__init__.py new file mode 100644 index 0000000..e2497db --- /dev/null +++ b/lekin/solver/construction_heuristics/__init__.py @@ -0,0 +1,9 @@ +"""Dispatching rules""" + +from lekin.solver.construction_heuristics.atcs import ATCScheduler +from lekin.solver.construction_heuristics.backward import BackwardScheduler +from lekin.solver.construction_heuristics.forward import ForwardScheduler +from lekin.solver.construction_heuristics.lpst import LPSTScheduler +from lekin.solver.construction_heuristics.spt import SPTScheduler + +__all__ = [ATCScheduler, LPSTScheduler, SPTScheduler, ForwardScheduler, BackwardScheduler] diff --git a/lekin/solver/construction_heuristics/atcs.py b/lekin/solver/construction_heuristics/atcs.py new file mode 100644 index 0000000..171208c --- /dev/null +++ b/lekin/solver/construction_heuristics/atcs.py @@ -0,0 +1,38 @@ +"""Apparent Tardiness Cost""" + +import logging + +from lekin.solver.construction_heuristics.base import BaseScheduler + + +class ATCScheduler(object): + def __init__(self, jobs, routes): + self.jobs = jobs + self.routes = routes + + def calculate_tardiness_cost(self, operation): + # Calculate the tardiness cost for an operation based on its finish time and due date + if operation.end_time > operation.due_date: + return operation.end_time - operation.due_date + else: + return 0 + + def schedule_job(self, job): + # Schedule the operations of a job using ATC method + for operation in job.route.operations: + operation.start_time = max(operation.available_time, operation.earliest_start_time) + operation.end_time = operation.start_time + operation.processing_time + + # Sort the operations by their tardiness cost in descending order + sorted_operations = sorted(job.route.operations, key=self.calculate_tardiness_cost, reverse=True) + + # Reschedule the operations based on their tardiness cost + current_time = 0 + for operation in sorted_operations: + operation.start_time = max(current_time, operation.earliest_start_time) + operation.end_time = operation.start_time + operation.processing_time + current_time = operation.end_time + + def run(self): + for job in self.jobs: + self.schedule_job(job) diff --git a/lekin/solver/construction_heuristics/base.py b/lekin/solver/construction_heuristics/base.py new file mode 100644 index 0000000..9dca977 --- /dev/null +++ b/lekin/solver/construction_heuristics/base.py @@ -0,0 +1,19 @@ +import logging + + +class BaseScheduler(object): + def __init__(self, job_collector, resource_collector, **kwargs): + self.job_collector = job_collector + self.resource_collector = resource_collector + + for key, value in kwargs.items(): + setattr(self, key, value) + + def run(self): + raise NotImplementedError + + def scheduling_job(self, job, **kwargs): + raise NotImplementedError + + def find_best_resource_and_timeslot_for_operation(self, operation, **kwargs): + raise NotImplementedError diff --git a/lekin/solver/construction_heuristics/cr.py b/lekin/solver/construction_heuristics/cr.py new file mode 100644 index 0000000..46a735c --- /dev/null +++ b/lekin/solver/construction_heuristics/cr.py @@ -0,0 +1,30 @@ +"""Critical ratio rule""" + +import logging + +from lekin.solver.construction_heuristics.base import BaseScheduler + + +class CRScheduler(object): + def __init__(self, jobs, routes): + self.jobs = jobs + self.routes = routes + + def calculate_critical_ratio(self, operation): + time_remaining = operation.job.due_date - operation.start_time + return time_remaining / operation.processing_time + + def schedule_job(self, job): + # Schedule the operations of a job using CR method + current_time = 0 + for operation in job.route.operations: + operation.start_time = max(current_time, operation.available_time) + operation.end_time = operation.start_time + operation.processing_time + current_time = operation.end_time + + # Sort the operations based on critical ratio + job.route.operations.sort(key=self.calculate_critical_ratio, reverse=True) + + def run(self): + for job in self.jobs: + self.schedule_job(job) diff --git a/lekin/solver/construction_heuristics/edd.py b/lekin/solver/construction_heuristics/edd.py new file mode 100644 index 0000000..07e1cfe --- /dev/null +++ b/lekin/solver/construction_heuristics/edd.py @@ -0,0 +1,30 @@ +"""Earliest Due Date""" + +import logging + +from lekin.solver.construction_heuristics.base import BaseScheduler + + +class EDDScheduler(object): + def __init__(self, jobs, routes): + self.jobs = jobs + self.routes = routes + + def schedule_job(self, job): + # Schedule the operations of a job using EDD method + current_time = 0 + for operation in job.route.operations: + operation.start_time = max(current_time, operation.available_time) + operation.end_time = operation.start_time + operation.processing_time + current_time = operation.end_time + + def run(self): + for job in self.jobs: + self.schedule_job(job) + + +class MS(object): + """Variation of EDD""" + + def __init__(self): + pass diff --git a/lekin/solver/construction_heuristics/epst.py b/lekin/solver/construction_heuristics/epst.py new file mode 100644 index 0000000..926a109 --- /dev/null +++ b/lekin/solver/construction_heuristics/epst.py @@ -0,0 +1,109 @@ +"""Earliest Possible Start Time +Forward scheduler +正排""" + +import logging +import math + +from lekin.solver.construction_heuristics.base import BaseScheduler + + +class EPSTScheduler(BaseScheduler): + def __init__(self, job_collector, resource_collector, route_collector=None, **kwargs): + super().__init__(job_collector, resource_collector, **kwargs) + self.job_collector = job_collector + self.resource_collector = resource_collector + self.route_collector = route_collector + + for key, value in kwargs.items(): + setattr(self, key, value) + + def run(self): + for i, job in enumerate(self.job_collector.job_list): + self.scheduling_job(job, self.resource_collector, self.route_collector) + logging.info("First Scheduling Done") + + for i, job in enumerate(self.job_collector.job_list): + self.rescheduling_job_to_resolve_conflict(job) + logging.info("ReScheduling Done") + return + + def scheduling_job(self, job, resource_collector, route_collector): + logging.info(f"\nAssign Job {job.job_id}") + + if route_collector is not None: + route_id = job.assigned_route_id + route = None + for r in route_collector: + if r.route_id == route_id: + route = r + break + if not route: + print(f"Route with ID '{job.assigned_route_id}' not found for Job ID '{job.job_id}'. Skipping job.") + + job.operations = route.operations_sequence + + op_earliest_start = 0 + for operation in job.operations: + logging.info(f"\tAssign Operation {operation.operation_id} of Job {job.job_id}") + chosen_resource, chosen_timeslot_hour = self.find_best_resource_and_timeslot_for_operation( + operation, op_earliest_start + ) + + if chosen_resource and chosen_timeslot_hour: + logging.info( + f"\tOperation {operation.operation_id} assigned in: resource" + f" {chosen_resource.resource_id}, {min(chosen_timeslot_hour)} -" + f" {max(chosen_timeslot_hour)}" + ) + + # assign + operation.assigned_resource = chosen_resource + operation.assigned_hours = chosen_timeslot_hour + chosen_resource.assigned_operations.append(operation) + chosen_resource.assigned_hours += chosen_timeslot_hour + + op_earliest_start = chosen_timeslot_hour[-1] + 1 + return + + def find_best_resource_and_timeslot_for_operation(self, operation, op_earliest_start, **kwargs): + available_resource = operation.available_resource + + earliest_index = 0 + resource_earliest_time = float("inf") + for i, resource in enumerate(available_resource): + resource_time = resource.get_earliest_available_time(duration=operation.processing_time) + + if resource_time < resource_earliest_time: + earliest_index = i + resource_earliest_time = resource_time + + chosen_resource = available_resource[earliest_index] + earliest_time = int(max(op_earliest_start, resource_earliest_time)) + chosen_hours = list(range(earliest_time, earliest_time + math.ceil(operation.processing_time))) + return chosen_resource, chosen_hours + + def rescheduling_job_to_resolve_conflict(self, job): + op_earliest_start = 0 + for operation in job.operations: + logging.info(f"Rescheduling {job.job_id}/ {operation.operation_id}") + assigned_resource = operation.assigned_resource + if operation.assigned_hours[0] < op_earliest_start: + delta = op_earliest_start - operation.assigned_hours[0] + operation.assigned_hours = [i + delta for i in operation.assigned_hours] + + pivot_assigned_hours = operation.assigned_hours + op_earliest_start = pivot_assigned_hours[-1] + 1 + + ops_in_same_resource = assigned_resource.assigned_operations + ops_in_same_resource.sort(key=lambda x: x.assigned_hours[0], reverse=False) + logging.info([i.parent_job_id for i in ops_in_same_resource]) + for op in ops_in_same_resource: + if op != operation: + op_start = op.assigned_hours[0] + if set(pivot_assigned_hours).intersection(set(op.assigned_hours)): + logging.info( + f"\tRescheduling {job.job_id}/ {op.operation_id} in {assigned_resource.resource_id}" + ) + op.assigned_hours = [i + pivot_assigned_hours[-1] - op_start + 1 for i in op.assigned_hours] + return diff --git a/lekin/solver/construction_heuristics/fifo.py b/lekin/solver/construction_heuristics/fifo.py new file mode 100644 index 0000000..232f840 --- /dev/null +++ b/lekin/solver/construction_heuristics/fifo.py @@ -0,0 +1,31 @@ +"""First In First Out""" + +import logging + +from lekin.solver.construction_heuristics.base import BaseScheduler + + +class FCFSScheduler: + """ + - 初始化，记录各个机器前的任务等待序列。模拟时间进度 + """ + + def __init__(self, jobs, routes): + self.jobs = jobs + self.routes = routes + + def init(self): + """ """ + pass + + def schedule_job(self, job): + # Schedule the operations of a job in FCFS order + current_time = 0 + for operation in job.route.operations: + operation.start_time = max(current_time, operation.available_time) + operation.end_time = operation.start_time + operation.processing_time + current_time = operation.end_time + + def run(self): + for job in self.jobs: + self.schedule_job(job) diff --git a/lekin/solver/construction_heuristics/lpst.py b/lekin/solver/construction_heuristics/lpst.py new file mode 100644 index 0000000..c43dd97 --- /dev/null +++ b/lekin/solver/construction_heuristics/lpst.py @@ -0,0 +1,146 @@ +"""Latest Possible Start Time +Backward scheduler +倒排""" + +import logging +import math + +from lekin.lekin_struct.job import Job, JobCollector +from lekin.lekin_struct.operation import Operation +from lekin.lekin_struct.resource import ResourceCollector +from lekin.lekin_struct.route import RouteCollector +from lekin.lekin_struct.timeslot import TimeSlot +from lekin.solver.construction_heuristics.base import BaseScheduler + + +class LPSTScheduler(object): + def __init__( + self, + job_collector: JobCollector, + resource_collector: ResourceCollector, + route_collector: RouteCollector = None, + **kwargs, + ) -> None: + self.job_collector = job_collector + self.resource_collector = resource_collector + self.route_collector = route_collector + + for key, value in kwargs.items(): + setattr(self, key, value) + + def run(self) -> None: + for i, job in enumerate(self.job_collector.job_list): + self.scheduling_job(job, self.resource_collector, self.route_collector) + logging.info("First Scheduling Done") + return + + def scheduling_job(self, job: Job, resource_collector, route_collector: RouteCollector) -> None: + logging.info(f"\nAssign Job {job.job_id}") + + if route_collector is not None: + route_id = job.assigned_route_id + route = None + for r in route_collector: + if r.route_id == route_id: + route = r + break + if not route: + print(f"Route with ID '{job.assigned_route_id}' not found for Job ID '{job.job_id}'. Skipping job.") + + job.operations = route.operations_sequence + + op_earliest_start = 0 # forward constraint + op_latest_end = 150 # backward constraint + for operation in job.operations[::-1]: # inverse + logging.info(f"\tAssign Operation {operation.operation_id} of Job {job.job_id}") + chosen_resource, chosen_timeslot_hour = self.find_best_resource_and_timeslot_for_operation( + operation, op_latest_end, op_earliest_start + ) + + if chosen_resource and chosen_timeslot_hour: + logging.info( + f"\tOperation {operation.operation_id} assigned in: resource" + f" {chosen_resource.resource_id}, {min(chosen_timeslot_hour)} -" + f" {max(chosen_timeslot_hour)}" + ) + + # assign + operation.assigned_resource = chosen_resource + operation.assigned_hours = chosen_timeslot_hour + chosen_resource.assigned_operations.append(operation) + chosen_resource.assigned_hours += chosen_timeslot_hour + + # op_earliest_start = chosen_timeslot_hour[-1] + 1 + op_latest_end = chosen_timeslot_hour[0] - 1 + return + + def find_best_resource_and_timeslot_for_operation( + self, operation: Operation, op_latest_end=None, op_earliest_start=None, **kwargs + ): + available_resource = operation.available_resource + + latest_index = float("inf") + resource_latest_time = 0 + for i, resource in enumerate(available_resource): + resource_time = resource.get_latest_available_time(duration=operation.processing_time, end=op_latest_end) + + if resource_time > resource_latest_time: + latest_index = i + resource_latest_time = resource_time + + chosen_resource = available_resource[latest_index] + latest_time = int(min(op_latest_end, resource_latest_time)) + chosen_hours = list(range(latest_time - math.ceil(operation.processing_time), latest_time + 0)) + return chosen_resource, chosen_hours + + def assign_operation(self, operation: Operation, start_time, end_time, resources): + timeslot = TimeSlot(start_time, end_time) + self.timeslots.append(timeslot) + for resource in resources: + # Add timeslot to resource's schedule + resource.schedule.append(timeslot) + # Link operation to scheduled timeslot + operation.scheduled_timeslot = timeslot + + def select_resources(self, job: Job, operation: Operation): + available_slots = self.find_available_timeslots(job, operation) + + selected_resources = [] + for slot in available_slots: + resources = slot.available_resources() + resource = self.optimize_resource_selection(resources, operation) + selected_resources.append((slot, resource)) + return selected_resources + + def find_available_timeslots(self, job, operation): + # Search timeslots and filter based on: + # - operation duration + # - predecessor timeslots + # - resource requirements + + slots = [] + # for ts in job.schedule.timeslots: + # if ts.end - ts.start >= operation.duration: + # if all(pred in job.predecessors(ts)): + # if ts.meets_resource_needs(operation): + # slots.append(ts) + return slots + + def optimize_resource_selection(self, resources, operation): + # Score and prioritize resources based on: + # - Capacity + # - Changeover time + # - Utilization + + scored = [] + for resource in resources: + score = 0 + if resource.capacity >= operation.required_capacity: + score += 1 + if resource.type in operation.preferred_resources: + score += 1 + # Prioritize resources with less adjacent timeslots + score -= len(resource.adjacent_timeslots(operation)) + scored.append((score, resource)) + best = max(scored, key=lambda x: x[0]) + return best[1] diff --git a/lekin/solver/construction_heuristics/lsf.py b/lekin/solver/construction_heuristics/lsf.py new file mode 100644 index 0000000..ce25ed0 --- /dev/null +++ b/lekin/solver/construction_heuristics/lsf.py @@ -0,0 +1,46 @@ +"""L""" + +import logging +from typing import Any, Callable, Dict, List, Optional, Tuple, Union + +from lekin.solver.construction_heuristics.base import BaseScheduler + + +class LSTScheduler(object): + def __init__(self, jobs, routes): + self.jobs = jobs + self.routes = routes + + def calculate_slack_time(self, operation, current_time): + # Calculate the slack time for an operation based on its due date and current time + return max(0, operation.due_date - current_time) + + def select_next_operation(self, available_operations, current_time): + # Select the operation with the longest slack time from the available operations + selected_operation = None + max_slack_time = float("-inf") + + for operation in available_operations: + slack_time = self.calculate_slack_time(operation, current_time) + if slack_time > max_slack_time: + max_slack_time = slack_time + selected_operation = operation + + return selected_operation + + def schedule_job(self, job, start_time): + # Schedule the operations of a job based on LST + current_time = start_time + + for operation in job.route.operations: + slack_time = self.calculate_slack_time(operation, current_time) + print(slack_time) + operation.start_time = current_time + operation.end_time = current_time + operation.processing_time + current_time += operation.processing_time + + job.completion_time = current_time + + def run(self): + for job in self.jobs: + self.schedule_job(job, 0) diff --git a/lekin/solver/construction_heuristics/mix.py b/lekin/solver/construction_heuristics/mix.py new file mode 100644 index 0000000..a74a1e7 --- /dev/null +++ b/lekin/solver/construction_heuristics/mix.py @@ -0,0 +1,72 @@ +import heapq + + +class JobScheduler: + def __init__(self, available_slots, jobs, routes, operations, resources): + self.available_slots = available_slots + heapq.heapify(self.available_slots) # Convert the list into a min heap + self.jobs = jobs + self.routes = routes + self.operations = operations + self.resources = resources + + def backward_schedule(self): + # Implement your initial backward scheduling pass here + pass + + def assign_resource(self, operation, available_resources): + # Implement resource assignment logic based on availability and scoring + pass + + def analyze_schedule_density(self): + # Implement schedule density analysis + pass + + def identify_bottleneck_resources(self): + # Identify bottleneck resources limiting density + pass + + def push_operations_closer(self, bottleneck_resources): + # Push operations closer on bottleneck resources + pass + + def rescore_operations(self): + # Rescore operations based on priority and slack time + pass + + def reassign_operations(self): + # Reassign operations to reduce gaps + pass + + def reevaluate_routes(self, critical_jobs): + # Re-evaluate routes for critical jobs + pass + + def reschedule_operations(self, critical_jobs): + # Reschedule operations on preferred resources for critical jobs + pass + + def push_dense(self): + # Iteratively push operations closer system-wide + # while True: + # self.backward_schedule() + # density = self.analyze_schedule_density() + # if density is not improved: + # break + pass + + def final_tweaking(self): + # Fine-tune schedules of critical jobs and leverage flexibilities + pass + + def optimize_schedule(self): + self.push_dense() + critical_jobs = self.identify_critical_jobs() + self.reevaluate_routes(critical_jobs) + self.reschedule_operations(critical_jobs) + self.final_tweaking() + return self.schedule + + def identify_critical_jobs(self): + # Identify critical jobs on the schedule + pass diff --git a/lekin/solver/construction_heuristics/spt.py b/lekin/solver/construction_heuristics/spt.py new file mode 100644 index 0000000..bd47e82 --- /dev/null +++ b/lekin/solver/construction_heuristics/spt.py @@ -0,0 +1,102 @@ +"""Shortest Processing Time +""" + +from collections import OrderedDict +import logging +from typing import Any, Callable, Dict, List, Optional, Tuple, Union + +from lekin.solver.construction_heuristics.base import BaseScheduler + + +class SPTScheduler(object): + def __init__(self): + self.time = {} # global时间队列 + self.waiting_operations = {} # 记录每个机器的任务等待队列 + self.jobs_list_to_export = [] + + def setup(self, job_list: List, machine_list: List): + for machine in machine_list: + # init for machine start time + self.current_time_on_machines[machine.name] = 0 + + # init for waiting list of machines + self.waiting_operations[machine.name] = 0 + for job in job_list: + if job.operation_id == 1 and machine.name in job.machine: + if len(job.machine) == 1: + self.waiting_operations[machine.name].append(job) + + self.waiting_operations[machine.name].sort(key=lambda j: j.duration) + return + + def solve(self, job_list: List, machine_list: List): + self.setup(job_list, machine_list) + + self.time[0] = self.waiting_operations + + for key_mach, operations in self.waiting_operations.items(): + # for each waiting task in front of machine, set time to 0 + if len(operations): + operations[0].start_time = 0 + operations[0].completed = True + operations[0].assigned_machine = key_mach + + self.jobs_list_to_export.append(operations[0]) + self.current_time_on_machines[key_mach] = operations[0].get_end_time() + self.time[self.current_time_on_machines[key_mach]] = {} + + while len(self.jobs_list_to_export) != len(job_list): + for t, operations in self.time.items(): + operations = self.get_waiting_operations( + job_list, float(t), machine_list, self.current_time_on_machines + ) + + for key_mach, tasks in operations.items(): + if len(tasks): + if float(t) < self.current_time_on_machines[key_mach]: + continue + + tasks[0].start_time = float(t) + tasks[0].completed = True + tasks[0].assigned_machine = key_mach + + self.jobs_list_to_export.append(tasks[0]) + self.current_time_on_machines[key_mach] = tasks[0].get_end_time() + self.time[self.current_time_on_machines[key_mach]] = {} + + del self.time[t] + break + self.time = OrderedDict(self.time) + return self.jobs_list_to_export + + def get_waiting_operations(self, job_list, time, machine_list, current_time_on_machines): + incoming_operations = {} + + for mach in machine_list: + assigned_jobs_for_machine = [] + for job in job_list: + if job.completed is False and mach.name in job.machine: + if len(job.machine) == 1: + assigned_jobs_for_machine.append(job) + + incoming_operations[mach.name] = [] + for j in assigned_jobs_for_machine: + if j.id_operation == 1: + incoming_operations[mach.name].append(j) + else: + previous_task = [ + job + for job in job_list + if job.route_id == j.route_id + and job.id_operation == (j.id_operation - 1) + and job.end_time <= time + ] + if len(previous_task): + if previous_task[0].completed: + incoming_operations[mach.name].append(j) + + incoming_operations[mach.name].sort(key=lambda j: j.duration) + return incoming_operations + + def run(self): + return diff --git a/lekin/solver/meta_heuristics/__init__.py b/lekin/solver/meta_heuristics/__init__.py new file mode 100644 index 0000000..e8ba164 --- /dev/null +++ b/lekin/solver/meta_heuristics/__init__.py @@ -0,0 +1,6 @@ +"""Heuristics""" + + +class Heuristics(object): + def __init__(self, name): + pass diff --git a/lekin/solver/meta_heuristics/branch_and_bound.py b/lekin/solver/meta_heuristics/branch_and_bound.py new file mode 100644 index 0000000..0734e06 --- /dev/null +++ b/lekin/solver/meta_heuristics/branch_and_bound.py @@ -0,0 +1,57 @@ +from datetime import datetime, timedelta +from itertools import permutations + +from lekin.lekin_struct import TimeSlot + + +class BranchAndBoundScheduler: + def __init__(self, job_list, resource_list): + self.job_list = job_list + self.resource_list = resource_list + self.best_schedule = None + self.best_cost = float("inf") + + def find_available_time_slots(self, operation, resource, current_time): + # Implement the logic to find available time slots for a given operation and resource + available_time_slots = [] + for slot in resource.available_time_slots: + if slot.start_time >= current_time + operation.processing_time: + available_time_slots.append(slot) + return available_time_slots + + def assign_operation(self, job, operation, resource, start_time): + # Implement the logic to assign an operation to a resource at a specific start time + end_time = start_time + operation.processing_time + resource.available_time_slots.append(TimeSlot(end_time, float("inf"))) + return end_time + + def calculate_cost(self, schedule): + # Implement the logic to calculate the cost of the current schedule + # For example, you can calculate makespan or any other relevant metric + makespan = max(slot.end_time for slot in schedule) + return makespan + + def branch_and_bound(self, current_job_idx, current_time, schedule): + # Implement the Branch and Bound algorithm for scheduling + if current_job_idx == len(self.job_list): + cost = self.calculate_cost(schedule) + if cost < self.best_cost: + self.best_cost = cost + self.best_schedule = schedule.copy() + return + + job = self.job_list[current_job_idx] + route = self.resource_list[job.assigned_route_id] + + for resource_id in route.operations[0].resource_ids: + resource = self.resource_list[resource_id] + time_slots = self.find_available_time_slots(route.operations[0], resource, current_time) + for slot in time_slots: + new_schedule = schedule + [slot] + new_time = self.assign_operation(job, route.operations[0], resource, slot.start_time) + self.branch_and_bound(current_job_idx + 1, new_time, new_schedule) + + def get_schedule(self): + # Implement the main function to get the final schedule using Branch and Bound + self.branch_and_bound(0, datetime(2023, 1, 1), []) + return self.best_schedule diff --git a/lekin/solver/meta_heuristics/critical_path.py b/lekin/solver/meta_heuristics/critical_path.py new file mode 100644 index 0000000..4f88e1a --- /dev/null +++ b/lekin/solver/meta_heuristics/critical_path.py @@ -0,0 +1,70 @@ +"""Critical path""" + +import copy +from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union + + +class CriticalPathScheduler: + def __init__(self, job_collector): + self.job_collector = job_collector + + def schedule(self): + # Generate the forward and backward pass times + forward_pass_times = self.forward_pass() + backward_pass_times = self.backward_pass() + + # Find the critical path + critical_path = self.find_critical_path(forward_pass_times, backward_pass_times) + + # Assign start times for each operation in the critical path + critical_path_schedule = {} + current_time = 0 + for job_id, operation_id in critical_path: + operation = self.job_collector.get_operation_by_id(job_id, operation_id) + critical_path_schedule[operation] = current_time + current_time += operation.processing_time + + return critical_path_schedule + + def forward_pass(self): + forward_pass_times: Dict[str, Dict[str, float]] = {} + for job in self.job_collector.jobs: + forward_pass_times[job.id] = {} + for operation in job.route.operations: + if operation.id == 0: + forward_pass_times[job.id][operation.id] = 0 + else: + predecessors = operation.get_predecessors() + max_predecessor_time = max( + [forward_pass_times[job.id][pred.id] + pred.processing_time for pred in predecessors] + ) + forward_pass_times[job.id][operation.id] = max_predecessor_time + + return forward_pass_times + + def backward_pass(self): + backward_pass_times: Dict[str, Dict[str, float]] = {} + for job in self.job_collector.jobs: + backward_pass_times[job.id] = {} + for operation in reversed(job.route.operations): + if operation.id == len(job.route.operations) - 1: + backward_pass_times[job.id][operation.id] = operation.processing_time + else: + successors = operation.get_successors() + min_successor_time = min( + [backward_pass_times[job.id][succ.id] + succ.processing_time for succ in successors] + ) + backward_pass_times[job.id][operation.id] = min_successor_time + + return backward_pass_times + + def find_critical_path(self, forward_pass_times, backward_pass_times): + critical_path = [] + for job in self.job_collector.jobs: + for operation in job.route.operations: + start_time = forward_pass_times[job.id][operation.id] + end_time = backward_pass_times[job.id][operation.id] + if start_time + operation.processing_time == end_time: + critical_path.append((job.id, operation.id)) + + return critical_path diff --git a/lekin/solver/meta_heuristics/genetic.py b/lekin/solver/meta_heuristics/genetic.py new file mode 100644 index 0000000..0dba9ba --- /dev/null +++ b/lekin/solver/meta_heuristics/genetic.py @@ -0,0 +1,98 @@ +"""Genetic scheduler""" + +import copy +import random + +from lekin.lekin_struct import JobCollector, ResourceCollector, RouteCollector + + +class GeneticScheduler: + def __init__( + self, + job_collector: JobCollector, + resource_collector: ResourceCollector, + route_collector: RouteCollector = None, + initial_schedule=None, + population_size=50, + generations=1000, + crossover_rate=0.8, + mutation_rate=0.2, + **kwargs, + ): + self.job_collector = job_collector + self.initial_schedule = initial_schedule + self.population_size = population_size + self.generations = generations + self.crossover_rate = crossover_rate + self.mutation_rate = mutation_rate + + def run(self): + population = self.initialize_population() + + for generation in range(self.generations): + selected_individuals = self.selection(population) + new_population = [] + + while len(new_population) < self.population_size: + parent1 = random.choice(selected_individuals) + parent2 = random.choice(selected_individuals) + + if random.random() < self.crossover_rate: + offspring1, offspring2 = self.crossover(parent1, parent2) + else: + offspring1, offspring2 = parent1, parent2 + + if random.random() < self.mutation_rate: + offspring1 = self.mutation(offspring1) + if random.random() < self.mutation_rate: + offspring2 = self.mutation(offspring2) + + new_population.append(offspring1) + new_population.append(offspring2) + + population = new_population + + # Find the best solution in the final population + best_solution = min(population, key=lambda chromosome: self.fitness(chromosome)[0]) + + # Return the best schedule + return self.job_collector.create_schedule_from_operations(best_solution) + + def initialize_population(self): + population = [] + for _ in range(self.population_size): + # Shuffle the operations for each job to create a random chromosome + chromosome = copy.deepcopy(self.job_collector.get_operations()) + for job_operations in chromosome.values(): + random.shuffle(job_operations) + population.append(chromosome) + return population + + def fitness(self, chromosome): + # Calculate the fitness of a chromosome based on the scheduling criteria (e.g., makespan, tardiness) + # The lower the fitness value, the better the solution + # Return a tuple with the fitness value and the schedule + schedule = self.job_collector.create_schedule_from_operations(chromosome) + fitness_value = 0 + return fitness_value, schedule + + def selection(self, population): + # Select the best individuals based on their fitness values + # You can use tournament selection, rank-based selection, or other methods + # Return the selected individuals + selected_individuals = 0 + return selected_individuals + + def crossover(self, parent1, parent2): + # Perform crossover (recombination) between two parents to create two offspring + # You can use one-point crossover, two-point crossover, or other methods + # Return the two offspring + offspring1, offspring2 = 0, 0 + return offspring1, offspring2 + + def mutation(self, chromosome): + # Introduce random changes in the chromosome to add diversity + # You can swap two operations for a randomly selected job + # Return the mutated chromosome + mutated_chromosome = 0 + return mutated_chromosome diff --git a/lekin/solver/meta_heuristics/hill_climbing.py b/lekin/solver/meta_heuristics/hill_climbing.py new file mode 100644 index 0000000..dac23ae --- /dev/null +++ b/lekin/solver/meta_heuristics/hill_climbing.py @@ -0,0 +1,60 @@ +"""Hill climbing""" + +import random + + +class HillClimbingScheduler: + def __init__(self, job_collector): + self.job_collector = job_collector + + def schedule(self, max_iterations=1000): + current_solution = self.random_solution() + current_score = self.evaluate_solution(current_solution) + + for _ in range(max_iterations): + neighbors = self.get_neighbors(current_solution) + if not neighbors: + break + + next_solution = max(neighbors, key=lambda neighbor: self.evaluate_solution(neighbor)) + next_score = self.evaluate_solution(next_solution) + + if next_score <= current_score: + current_solution = next_solution + current_score = next_score + else: + break + + return current_solution + + def random_solution(self): + return { + operation: random.randint(0, operation.get_latest_start_time()) + for job in self.job_collector.jobs + for operation in job.route.operations + } + + def get_neighbors(self, solution): + neighbors = [] + for operation, start_time in solution.items(): + for t in range(start_time - 1, operation.get_latest_start_time() + 1): + neighbor = solution.copy() + neighbor[operation] = t + neighbors.append(neighbor) + return neighbors + + def evaluate_solution(self, solution): + end_times = {} + for job in self.job_collector.jobs: + for operation in job.route.operations: + if operation in solution: + start_time = solution[operation] + else: + start_time = operation.get_latest_start_time() + + end_time = start_time + operation.processing_time + if operation.id not in end_times or end_time > end_times[operation.id]: + end_times[operation.id] = end_time + + makespan = max(end_times.values()) + return makespan diff --git a/lekin/solver/meta_heuristics/nsga3.py b/lekin/solver/meta_heuristics/nsga3.py new file mode 100644 index 0000000..e25a2ee --- /dev/null +++ b/lekin/solver/meta_heuristics/nsga3.py @@ -0,0 +1,87 @@ +import random +from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union + + +class NSGA3Scheduler: + def __init__(self, jobs, routes, num_generations, population_size): + self.jobs = jobs + self.routes = routes + self.num_generations = num_generations + self.population_size = population_size + self.population = [] + self.fronts = [] + + def initialize_population(self): + # Generate an initial random population + for _ in range(self.population_size): + solution = self.generate_random_solution() + self.population.append(solution) + + def generate_random_solution(self): + # Generate a random solution representing start times for operations + solution: Dict = {} + for job in self.jobs: + solution[job] = {} + for operation in job.route.operations: + solution[job][operation] = random.randint(0, 100) # Random start time + return solution + + def evaluate_objectives(self, solution): + # Evaluate the objectives for a given solution + makespan = self.calculate_makespan(solution) + total_tardiness = self.calculate_total_tardiness(solution) + resource_utilization = self.calculate_resource_utilization(solution) + return makespan, total_tardiness, resource_utilization + + def calculate_makespan(self, solution): + # Calculate the makespan for a given solution + # Implementation specific to your job shop scheduling problem + pass + + def calculate_total_tardiness(self, solution): + # Calculate the total tardiness for a given solution + # Implementation specific to your job shop scheduling problem + pass + + def calculate_resource_utilization(self, solution): + # Calculate the resource utilization for a given solution + # Implementation specific to your job shop scheduling problem + pass + + def run(self): + self.initialize_population() + for generation in range(self.num_generations): + self.fast_nondominated_sort() + self.crowding_distance() + self.selection() + self.crossover() + self.mutation() + + def fast_nondominated_sort(self): + # Implement NSGA-III's fast non-dominated sorting + # Categorize solutions into different fronts based on their dominance relationships + pass + + def crowding_distance(self): + # Implement NSGA-III's crowding distance calculation + # Calculate the crowding distance for each solution in each front + pass + + def selection(self): + # Implement NSGA-III's selection mechanism + # Select the best solutions based on their non-dominated ranks and crowding distances + pass + + def crossover(self): + # Implement NSGA-III's crossover operator + # Perform crossover to create offspring solutions + pass + + def mutation(self): + # Implement NSGA-III's mutation operator + # Perform mutation to introduce diversity in the population + pass + + def get_pareto_front(self): + # Get the Pareto front solutions after the algorithm has run + return self.fronts[0] diff --git a/lekin/solver/meta_heuristics/pso.py b/lekin/solver/meta_heuristics/pso.py new file mode 100644 index 0000000..e0ce0ce --- /dev/null +++ b/lekin/solver/meta_heuristics/pso.py @@ -0,0 +1 @@ +"""particle swarm optimization""" diff --git a/lekin/solver/meta_heuristics/shifting_bottle_neck.py b/lekin/solver/meta_heuristics/shifting_bottle_neck.py new file mode 100644 index 0000000..8dd031d --- /dev/null +++ b/lekin/solver/meta_heuristics/shifting_bottle_neck.py @@ -0,0 +1,63 @@ +"""Shifting bottle neck meta_heuristics""" + +import copy + + +class ShiftingBottleneckScheduler: + def __init__(self, job_collector): + self.job_collector = job_collector + + def schedule(self): + best_solution = self.generate_initial_solution() + best_cost = self.calculate_cost(best_solution) + + for _ in range(1000): # Number of iterations + current_solution = copy.deepcopy(best_solution) + bottleneck_job, bottleneck_op = self.find_bottleneck_operation(current_solution) + + # Move bottleneck operation to different time slots + for time_slot in range(self.job_collector.max_time): + current_solution[bottleneck_job.id][bottleneck_op.id] = time_slot + current_cost = self.calculate_cost(current_solution) + + if current_cost < best_cost: + best_solution = current_solution + best_cost = current_cost + + return best_solution + + def generate_initial_solution(self): + # Randomly assign operations to time slots + solution = {} + for job in self.job_collector.jobs: + solution[job.id] = {op.id: 0 for op in job.route.operations} + return solution + + def find_bottleneck_operation(self, solution): + # Find the operation with the longest processing time in the schedule + max_processing_time = 0 + bottleneck_job = None + bottleneck_op = None + + for job in self.job_collector.jobs: + for operation in job.route.operations: + processing_time = operation.processing_time + start_time = solution[job.id][operation.id] + end_time = start_time + processing_time + + if end_time > max_processing_time: + max_processing_time = end_time + bottleneck_job = job + bottleneck_op = operation + + return bottleneck_job, bottleneck_op + + def calculate_cost(self, solution): + # Calculate the makespan of the schedule + max_end_time = 0 + for job in self.job_collector.jobs: + end_time = max( + [solution[job.id][operation.id] + operation.processing_time for operation in job.route.operations] + ) + max_end_time = max(max_end_time, end_time) + return max_end_time diff --git a/lekin/solver/meta_heuristics/tabu_search.py b/lekin/solver/meta_heuristics/tabu_search.py new file mode 100644 index 0000000..025d936 --- /dev/null +++ b/lekin/solver/meta_heuristics/tabu_search.py @@ -0,0 +1,74 @@ +""" +Local search +https://towardsdatascience.com/optimization-techniques-tabu-search-36f197ef8e25 +""" + + +import math +import random + + +class TabuSearchScheduler: + def __init__(self, job_collector, max_iterations=1000, tabu_size=20): + self.job_collector = job_collector + self.max_iterations = max_iterations + self.tabu_size = tabu_size + + def schedule(self): + best_solution = self.generate_initial_solution() + best_cost = self.calculate_cost(best_solution) + + tabu_list = [best_solution] + current_solution = best_solution + + for iteration in range(self.max_iterations): + neighbors = self.generate_neighbors(current_solution) + non_tabu_neighbors = [neighbor for neighbor in neighbors if neighbor not in tabu_list] + + if not non_tabu_neighbors: + break + + current_solution = random.choice(non_tabu_neighbors) + current_cost = self.calculate_cost(current_solution) + + if current_cost < best_cost: + best_solution = current_solution + best_cost = current_cost + + tabu_list.append(current_solution) + if len(tabu_list) > self.tabu_size: + tabu_list.pop(0) + + return best_solution + + def generate_initial_solution(self): + # Randomly assign operations to time slots + solution = {} + for job in self.job_collector.jobs: + for operation in job.route.operations: + solution[(job.id, operation.id)] = random.randint( + 0, self.job_collector.max_time - operation.processing_time + ) + return solution + + def generate_neighbors(self, solution): + neighbors = [] + for i in range(len(solution)): + neighbor = solution.copy() + job_id, operation_id = list(neighbor.keys())[i] + operation = self.job_collector.get_operation_by_id(job_id, operation_id) + neighbor[(job_id, operation_id)] = random.randint( + 0, self.job_collector.max_time - operation.processing_time + ) + neighbors.append(neighbor) + return neighbors + + def calculate_cost(self, solution): + # Calculate the makespan of the schedule + max_end_time = 0 + for job in self.job_collector.jobs: + end_time = max( + [solution[(job.id, operation.id)] + operation.processing_time for operation in job.route.operations] + ) + max_end_time = max(max_end_time, end_time) + return max_end_time diff --git a/lekin/solver/meta_heuristics/variable_neighborhood_search.py b/lekin/solver/meta_heuristics/variable_neighborhood_search.py new file mode 100644 index 0000000..57ae2d8 --- /dev/null +++ b/lekin/solver/meta_heuristics/variable_neighborhood_search.py @@ -0,0 +1,89 @@ +"""Variable neighborhood search""" + +import random + + +class VNSScheduler: + def __init__(self, jobs, routes, max_iterations, neighborhood_size): + self.jobs = jobs + self.routes = routes + self.max_iterations = max_iterations + self.neighborhood_size = neighborhood_size + + def initialize_solution(self): + # Generate an initial random solution representing start times for operations + solution = {} + for job in self.jobs: + solution[job] = {} + for operation in job.route.operations: + solution[job][operation] = random.randint(0, 100) # Random start time + return solution + + def evaluate_objectives(self, solution): + # Evaluate the objectives for a given solution + makespan = self.calculate_makespan(solution) + total_tardiness = self.calculate_total_tardiness(solution) + resource_utilization = self.calculate_resource_utilization(solution) + return makespan, total_tardiness, resource_utilization + + def calculate_makespan(self, solution): + # Calculate the makespan for a given solution + # Implementation specific to your job shop scheduling problem + pass + + def calculate_total_tardiness(self, solution): + # Calculate the total tardiness for a given solution + # Implementation specific to your job shop scheduling problem + pass + + def calculate_resource_utilization(self, solution): + # Calculate the resource utilization for a given solution + # Implementation specific to your job shop scheduling problem + pass + + def generate_neighbor(self, current_solution): + # Generate a neighbor solution by perturbing the current solution + # You can use different perturbation techniques like swap, insert, etc. + # based on your specific problem requirements + neighbor_solution = current_solution.copy() + # Implement your perturbation here + return neighbor_solution + + def accept_neighbor(self, current_solution, neighbor_solution, temperature): + # Decide whether to accept the neighbor solution based on acceptance criteria + # For VNS, you can use simulated annealing-like acceptance probability + # based on the difference in objective values and the current temperature + current_objectives = self.evaluate_objectives(current_solution) + neighbor_objectives = self.evaluate_objectives(neighbor_solution) + current_cost = self.calculate_cost(current_objectives) + neighbor_cost = self.calculate_cost(neighbor_objectives) + + if neighbor_cost < current_cost: + return True + else: + acceptance_prob = min(1, pow(2.71, -(neighbor_cost - current_cost) / temperature)) + return random.random() < acceptance_prob + + def calculate_cost(self, objectives): + # Calculate the cost for a set of objectives + # You can define a weighted sum, weighted sum of ranks, or other measures + # based on your specific problem requirements and preferences + # For example, you can use a weighted sum of makespan and total tardiness + weight_makespan = 1 + weight_tardiness = 1 + return weight_makespan * objectives[0] + weight_tardiness * objectives[1] + + def run(self): + current_solution = self.initialize_solution() + temperature = 100 # Initial temperature for simulated annealing + iteration = 0 + + while iteration < self.max_iterations: + for _ in range(self.neighborhood_size): + neighbor_solution = self.generate_neighbor(current_solution) + if self.accept_neighbor(current_solution, neighbor_solution, temperature): + current_solution = neighbor_solution + temperature *= 0.95 # Reduce temperature for simulated annealing + iteration += 1 + + return current_solution diff --git a/lekin/solver/operation_research/__init__.py b/lekin/solver/operation_research/__init__.py new file mode 100644 index 0000000..8b878dd --- /dev/null +++ b/lekin/solver/operation_research/__init__.py @@ -0,0 +1 @@ +"""Operation research""" diff --git a/lekin/solver/operation_research/ortool.py b/lekin/solver/operation_research/ortool.py new file mode 100644 index 0000000..5d1c26a --- /dev/null +++ b/lekin/solver/operation_research/ortool.py @@ -0,0 +1,69 @@ +from ortools.sat.python import cp_model + + +class ORToolsScheduler: + def __init__(self, job_collector): + self.job_collector = job_collector + self.model = cp_model.CpModel() + self.vars = {} + + def schedule(self): + self.create_variables() + self.add_constraints() + self.add_objective() + solver = cp_model.CpSolver() + status = solver.Solve(self.model) + if status == cp_model.OPTIMAL: + return self.get_schedule(solver) + else: + return None + + def create_variables(self): + for job in self.job_collector.jobs: + for operation in job.route.operations: + self.vars[operation.id] = self.model.NewIntVar( + 0, self.job_collector.max_time, f"Operation_{operation.id}_Start" + ) + + def add_constraints(self): + for job in self.job_collector.jobs: + for i, operation in enumerate(job.route.operations): + # Constraint: Each operation starts after the end of its parent operation + if i > 0: + parent_operation = job.route.operations[i - 1] + self.model.Add( + self.vars[operation.id] >= self.vars[parent_operation.id] + parent_operation.processing_time + ) + + # Constraint: Each operation must be finished before the job's demand date + self.model.Add(self.vars[operation.id] + operation.processing_time <= job.demand_date) + + for resource in self.job_collector.resources: + for timeslot in resource.timeslots: + for job in self.job_collector.jobs: + for operation in job.route.operations: + # Constraint: The operation must start within the resource's available timeslots + self.model.Add(self.vars[operation.id] >= timeslot.start_time).OnlyEnforceIf(timeslot.is_used) + self.model.Add( + self.vars[operation.id] <= timeslot.end_time - operation.processing_time + ).OnlyEnforceIf(timeslot.is_used) + + def add_objective(self): + objective_var = self.model.NewIntVar(0, self.job_collector.max_time, "Makespan") + self.model.AddMaxEquality( + objective_var, + [ + self.vars[operation.id] + operation.processing_time + for job in self.job_collector.jobs + for operation in job.route.operations + ], + ) + self.model.Minimize(objective_var) + + def get_schedule(self, solver): + schedule = {} + for job in self.job_collector.jobs: + for operation in job.route.operations: + start_time = solver.Value(self.vars[operation.id]) + schedule[(job.id, operation.id)] = start_time + return schedule diff --git a/lekin/solver/reinforcement_learning/__init__.py b/lekin/solver/reinforcement_learning/__init__.py new file mode 100644 index 0000000..47e826e --- /dev/null +++ b/lekin/solver/reinforcement_learning/__init__.py @@ -0,0 +1 @@ +"""Reinforcement learning""" diff --git a/lekin/solver/reinforcement_learning/dqn.py b/lekin/solver/reinforcement_learning/dqn.py new file mode 100644 index 0000000..751fc42 --- /dev/null +++ b/lekin/solver/reinforcement_learning/dqn.py @@ -0,0 +1,99 @@ +import random + +import numpy as np +import tensorflow as tf + + +class DeepQLearningScheduler: + def __init__( + self, + job_collector, + state_shape, + action_shape, + learning_rate=0.001, + gamma=0.99, + epsilon=1.0, + epsilon_decay=0.995, + epsilon_min=0.01, + ): + self.job_collector = job_collector + self.state_shape = state_shape + self.action_shape = action_shape + self.learning_rate = learning_rate + self.gamma = gamma + self.epsilon = epsilon + self.epsilon_decay = epsilon_decay + self.epsilon_min = epsilon_min + + self.memory = [] + self.q_network = self.build_q_network() + self.target_q_network = self.build_q_network() + self.update_target_network() + + def build_q_network(self): + model = tf.keras.Sequential( + [ + tf.keras.layers.Dense(64, activation="relu", input_shape=self.state_shape), + tf.keras.layers.Dense(64, activation="relu"), + tf.keras.layers.Dense(np.prod(self.action_shape), activation="linear"), + ] + ) + model.compile(optimizer=tf.keras.optimizers.Adam(lr=self.learning_rate), loss="mse") + return model + + def update_target_network(self): + self.target_q_network.set_weights(self.q_network.get_weights()) + + def get_action(self, state): + if np.random.rand() <= self.epsilon: + return np.random.randint(0, np.prod(self.action_shape)) + return np.argmax(self.q_network.predict(np.array([state]))) + + def remember(self, state, action, reward, next_state, done): + self.memory.append((state, action, reward, next_state, done)) + + def replay(self, batch_size): + if len(self.memory) < batch_size: + return + + batch = random.sample(self.memory, batch_size) + + states = np.array([experience[0] for experience in batch]) + actions = np.array([experience[1] for experience in batch]) + rewards = np.array([experience[2] for experience in batch]) + next_states = np.array([experience[3] for experience in batch]) + dones = np.array([experience[4] for experience in batch]) + + targets = rewards + self.gamma * (1 - dones) * np.amax(self.target_q_network.predict(next_states), axis=1) + target_f = self.q_network.predict(states) + target_f[np.arange(batch_size), actions] = targets + + self.q_network.fit(states, target_f, epochs=1, verbose=0) + + if self.epsilon > self.epsilon_min: + self.epsilon *= self.epsilon_decay + + def train(self, episodes, batch_size): + for episode in range(episodes): + state = self.job_collector.get_state() + done = False + + while not done: + action = self.get_action(state) + next_state, reward, done = self.job_collector.step(action) + self.remember(state, action, reward, next_state, done) + state = next_state + + if len(self.memory) > batch_size: + self.replay(batch_size) + + if episode % 10 == 0: + self.update_target_network() + + def get_schedule(self): + state = self.job_collector.get_state() + done = False + while not done: + action = np.argmax(self.q_network.predict(np.array([state]))) + state, _, done = self.job_collector.step(action) + return self.job_collector.get_schedule() diff --git a/lekin/solver/utils/__init__.py b/lekin/solver/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/lekin/solver/utils/push_dense.py b/lekin/solver/utils/push_dense.py new file mode 100644 index 0000000..425528e --- /dev/null +++ b/lekin/solver/utils/push_dense.py @@ -0,0 +1,28 @@ +def push_dense(schedule): + changed = True + + while changed: + changed = False + + for resource in schedule.resources: + slots = sorted(resource.slots, key=lambda x: x.start_time) + + for i in range(len(slots) - 1): + curr_slot = slots[i] + next_slot = slots[i + 1] + + if curr_slot.end_time < next_slot.start_time: + # Gap exists between operations + + gap = next_slot.start_time - curr_slot.end_time + + if next_slot.operation.can_start_early(gap): + # Update slots + next_slot.start_time -= gap + next_slot.end_time -= gap + + curr_slot.end_time = next_slot.start_time + + changed = True + + return schedule diff --git a/lekin/utils/__init__.py b/lekin/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/lekin/utils/group_op_ds.py b/lekin/utils/group_op_ds.py new file mode 100644 index 0000000..0f27e13 --- /dev/null +++ b/lekin/utils/group_op_ds.py @@ -0,0 +1,67 @@ +""" +新加入的时候可以快速找到该节点，因此之前用了dict[id, MaterialOP] + +移动的时候, 先标记一些candidate + +找到一个candidate, 往前找之前的插入位置 + +重新整理 + +""" + + +class DictNode: + def __init__(self, key, value): + self.key = key + self.value = value + self.prev = None + self.next = None + + +from collections import OrderedDict + +class IndexedList: + def __init__(self): + self.ordered_dict = OrderedDict() + self.order_list = [] + + def insert_at_index(self, index, key, value): + if index < 0 or index > len(self.order_list): + raise IndexError("Index out of bounds") + + self.ordered_dict[key] = value + self.order_list.insert(index, key) + + def insert_after(self, key, new_key, new_value): + if key is None: + # Insert at the beginning + self.ordered_dict[new_key] = new_value + elif key in self.ordered_dict: + # Insert after the specified key + items = list(self.ordered_dict.items()) + index = next((i for i, (k, v) in enumerate(items) if k == key), -1) + if index != -1: + items.insert(index + 1, (new_key, new_value)) + self.ordered_dict = OrderedDict(items) + else: + raise KeyError(f"Key '{key}' not found in the indexed list") + else: + raise KeyError(f"Key '{key}' not found in the indexed list") + + def display(self): + for key, value in self.ordered_dict.items(): + print(f"({key}: {value})", end=" ") + print() + + +# Example Usage: +indexed_list = IndexedList() +indexed_list.insert_at_index(0, 'a', 1) +indexed_list.insert_at_index(1, 'b', 2) +indexed_list.insert_at_index(1, 'c', 3) +indexed_list.display() # Output: (a: 1) (c: 3) (b: 2) + +indexed_list.insert_at_index(2, 'd', 4) +indexed_list.display() # Output: (a: 1) (c: 3) (d: 4) (b: 2) + + diff --git a/lekin/utils/push_dense.py b/lekin/utils/push_dense.py new file mode 100644 index 0000000..a3de2b8 --- /dev/null +++ b/lekin/utils/push_dense.py @@ -0,0 +1,17 @@ +# push dense +# for i, (id, resource) in enumerate(resource_collector.resources_dict.items()): +# logging.info( +# f'Start to push {i + 1}/{len(resource_collector.resources_dict)} resources' +# ) +# assigned_ops = resource.assigned_operations +# assigned_ops.sort() +# for op in assigned_ops: +# buffer_push = op.buffer +# if buffer_push > resource.available_capacity: +# buffer_push = resource.available_capacity + +# op.start_time -= buffer_push + +# # last chance for remaining jobs +# for job in self.unassigned_jobs: +# logging.warning(f'Abnornal! 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in the + | \.git # root of the project + | \.hg + | \.mypy_cache + | \.tox + | \.venv + | _build + | buck-out + | build + | dist + )/ + | docs/build/ + | node_modules/ + | venve/ + | .venv/ +) +''' + +[tool.nbqa.mutate] +isort = 1 +black = 1 + +[tool.poetry] +name = "lekin" +readme = "README.md" # Markdown files are supported +version = "0.0.2" # is being replaced automatically + +authors = ["Longxing Tan"] +classifiers = [ + "Intended Audience :: Developers", + "Intended Audience :: Science/Research", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.7", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Topic :: Scientific/Engineering", + "Topic :: Scientific/Engineering :: Mathematics", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Topic :: Software Development", + "Topic :: Software Development :: Libraries", + "Topic :: Software Development :: Libraries :: Python Modules", + "License :: OSI Approved :: MIT License"] +description = "Flexible job shop scheduler in Python" +repository = "https://github.com/LongxingTan/python-lekin" +documentation = "https://python-lekin.readthedocs.io" +homepage = "https://python-lekin.readthedocs.io" + +[tool.poetry.dependencies] +python = ">=3.7,<3.11" +#pandas = "^1.1.0" +matplotlib = "*" + +[tool.poetry.dev-dependencies] +# checks and make tools +pre-commit = "^2.20.0" + +invoke = "*" +flake8 = "*" +mypy = "*" +pylint = "*" +isort = "*" +coverage = "*" + +# jupyter notebook +ipykernel = "*" +black = { version = "*", allow-prereleases = true, extras = ["jupyter"] } + +# documentatation +sphinx = "*" +pydata-sphinx-theme = "*" +nbsphinx = "*" +# pandoc = "*" +recommonmark = "*" +ipywidgets = "^8.0.1" + +[tool.poetry-dynamic-versioning] +enable = true +vcs = "git" +dirty = false +style = "semver" # semantic versioning + +[build-system] # make the package pip installable +requires = ["poetry-core>=1.0.7", "poetry-dynamic-versioning>=0.13.1"] +build-backend = "poetry.core.masonry.api" diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000..f0b8151 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,69 @@ +[flake8] +max-line-length = 120 +show-source = true +ignore = + # space before : (needed for how black formats slicing) + E203, + # line break before binary operator + W503, + # line break after binary operator + W504, + # module level import not at top of file + E402, + # do not assign a lambda expression, use a def + E731, + # ignore not easy to read variables like i l I etc. + E741, + # Unnecessary list literal - rewrite as a dict literal. + C406, + # Unnecessary dict call - rewrite as a literal. + C408, + # Unnecessary list passed to tuple() - rewrite as a tuple literal. + C409, + # found modulo formatter (incorrect picks up mod operations) + S001, + # unused imports + F401 +exclude = docs/build/*.py, + node_modules/*.py, + .eggs/*.py, + versioneer.py, + venv/*, + .venv/*, + .git/* + .history/* + +[isort] +profile = black +honor_noqa = true +line_length = 120 +combine_as_imports = true +force_sort_within_sections = true +known_first_party = pytorch_forecasting + +[tool:pytest] +addopts = + -rsxX + -vv + --last-failed + --cov=pytorch_forecasting + --cov-report=html + --cov-config=setup.cfg + --cov-report=term-missing:skip-covered + --no-cov-on-fail + -n0 +testpaths = tests/ +log_cli_level = ERROR +markers = + +[coverage:report] +ignore_errors = False +show_missing = true + + +[mypy] +ignore_missing_imports = true +no_implicit_optional = true +check_untyped_defs = true + +cache_dir = .cache/mypy/ diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_dashboard/__init__.py b/tests/test_dashboard/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_dashboard/test_gantt.py b/tests/test_dashboard/test_gantt.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_datasets/__init__.py b/tests/test_datasets/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_lekin_struct/__init__.py b/tests/test_lekin_struct/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_lekin_struct/test_job.py b/tests/test_lekin_struct/test_job.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_lekin_struct/test_operation.py b/tests/test_lekin_struct/test_operation.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_lekin_struct/test_resource.py b/tests/test_lekin_struct/test_resource.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_lekin_struct/test_route.py b/tests/test_lekin_struct/test_route.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_lekin_struct/test_timeslot.py b/tests/test_lekin_struct/test_timeslot.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_objective/__init__.py b/tests/test_objective/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_solver/__init__.py b/tests/test_solver/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_solver/test_construction_heuristics/__init__.py b/tests/test_solver/test_construction_heuristics/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_solver/test_construction_heuristics/test_lpst.py b/tests/test_solver/test_construction_heuristics/test_lpst.py new file mode 100644 index 0000000..2435285 --- /dev/null +++ b/tests/test_solver/test_construction_heuristics/test_lpst.py @@ -0,0 +1,3 @@ +import unittest + +from lekin.solver.construction_heuristics.lpst import LPSTScheduler diff --git a/tests/test_solver/test_construction_heuristics/test_rule.py b/tests/test_solver/test_construction_heuristics/test_rule.py new file mode 100644 index 0000000..f6df27e --- /dev/null +++ b/tests/test_solver/test_construction_heuristics/test_rule.py @@ -0,0 +1,3 @@ +import pandas as pd + +from lekin.lekin_struct import Job, JobCollector diff --git a/tests/test_solver/test_construction_heuristics/test_spt.py b/tests/test_solver/test_construction_heuristics/test_spt.py new file mode 100644 index 0000000..ccb7ab4 --- /dev/null +++ b/tests/test_solver/test_construction_heuristics/test_spt.py @@ -0,0 +1,3 @@ +import unittest + +from lekin.solver.construction_heuristics.spt import SPTScheduler diff --git a/tests/test_solver/test_meta_heuristics/__init__.py b/tests/test_solver/test_meta_heuristics/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_solver/test_meta_heuristics/test_branch_and_bound.py b/tests/test_solver/test_meta_heuristics/test_branch_and_bound.py new file mode 100644 index 0000000..3a87ac3 --- /dev/null +++ b/tests/test_solver/test_meta_heuristics/test_branch_and_bound.py @@ -0,0 +1,26 @@ +from datetime import datetime, timedelta +import unittest + +from lekin.lekin_struct import Job, Operation, Resource, Route, TimeSlot +from lekin.solver.meta_heuristics.branch_and_bound import BranchAndBoundScheduler + +# class BranchAndBoundSchedulerTest(unittest.TestCase): +# def test_schedule(self): +# job1 = Job(1, datetime(2023, 1, 10), 2, 1) +# job2 = Job(2, datetime(2023, 1, 20), 1, 1) +# +# op1 = Operation(1, timedelta(hours=2), 2, None, [1]) +# op2 = Operation(2, timedelta(hours=3), None, 1, [1]) +# +# route1 = Route(1, [op1, op2]) +# print(route1) +# +# resource1 = Resource(1, [TimeSlot(datetime(2023, 1, 1), datetime(2023, 1, 3))]) +# +# job_list = [job1, job2] +# resource_list = [resource1] +# +# scheduler = BranchAndBoundScheduler(job_list, resource_list) +# schedule = scheduler.get_schedule() +# for idx, slot in enumerate(schedule): +# print(f"Job {idx + 1} will start at {slot.start_time} and end at {slot.end_time}") diff --git a/tests/test_solver/test_meta_heuristics/test_genetic.py 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