diff --git a/.gitignore b/.gitignore
index 5b90e79..a92abe9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,27 +1,143 @@
-# ---> Go
-# If you prefer the allow list template instead of the deny list, see community template:
-# https://github.com/github/gitignore/blob/main/community/Golang/Go.AllowList.gitignore
-#
-# Binaries for programs and plugins
-*.exe
-*.exe~
-*.dll
+# ---> Python
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
 *.so
-*.dylib
 
-# Test binary, built with `go test -c`
-*.test
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
 
-# Output of the go coverage tool, specifically when used with LiteIDE
-*.out
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
 
-# Dependency directories (remove the comment below to include it)
-# vendor/
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
 
-# Go workspace file
-go.work
-go.work.sum
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
 
-# env file
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
 .env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
 
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Logs
+logs/
+*.log
+
+# Project specific
+config/local_*.yaml
diff --git a/feed_formula_calculator.py b/feed_formula_calculator.py
new file mode 100644
index 0000000..ae4e6d5
--- /dev/null
+++ b/feed_formula_calculator.py
@@ -0,0 +1,36 @@
+import optimize_feed
+
+# 示例调用
+if __name__ == "__main__":
+    # 原料数据（加工后，单位：%或MJ/kg，价格元/吨）
+    ingredients = {
+        '构树叶': {'蛋白': 15, '能量': 9, '纤维': 10, '赖氨酸': 0.5, '蛋氨酸': 0.1, '钙': 1.5, '磷': 0.2, '价格': 600},
+        '玉米胚芽': {'蛋白': 11, '能量': 13, '纤维': 7, '赖氨酸': 0.4, '蛋氨酸': 0.2, '钙': 0.1, '磷': 0.3,
+                     '价格': 1700},
+        '麦麸': {'蛋白': 15, '能量': 10, '纤维': 12, '赖氨酸': 0.4, '蛋氨酸': 0.2, '钙': 0.1, '磷': 1.0, '价格': 1300},
+        '米糠': {'蛋白': 13, '能量': 11, '纤维': 10, '赖氨酸': 0.4, '蛋氨酸': 0.2, '钙': 0.1, '磷': 1.5, '价格': 1100},
+        '牧草': {'蛋白': 17, '能量': 8.5, '纤维': 20, '赖氨酸': 0.6, '蛋氨酸': 0.2, '钙': 1.2, '磷': 0.3, '价格': 800},
+        '玉米': {'蛋白': 9, '能量': 13.5, '纤维': 2.5, '赖氨酸': 0.3, '蛋氨酸': 0.17, '钙': 0.02, '磷': 0.3,
+                 '价格': 2367},
+        '豆粕': {'蛋白': 46, '能量': 10.5, '纤维': 4, '赖氨酸': 2.8, '蛋氨酸': 0.6, '钙': 0.3, '磷': 0.7, '价格': 3300},
+        '植物油': {'蛋白': 0, '能量': 36, '纤维': 0, '赖氨酸': 0, '蛋氨酸': 0, '钙': 0, '磷': 0, '价格': 7500},
+        '赖氨酸': {'蛋白': 78, '能量': 0, '纤维': 0, '赖氨酸': 78, '蛋氨酸': 0, '钙': 0, '磷': 0, '价格': 15000},
+        '蛋氨酸': {'蛋白': 99, '能量': 0, '纤维': 0, '赖氨酸': 0, '蛋氨酸': 99, '钙': 0, '磷': 0, '价格': 25000},
+        '预混料': {'蛋白': 0, '能量': 0, '纤维': 0, '赖氨酸': 0, '蛋氨酸': 0, '钙': 10, '磷': 5, '价格': 3000}
+    }
+
+    requirements = {
+        '蛋白_下限': 17,
+        '能量_下限': 13,
+        '纤维_上限': 5,
+        '赖氨酸_下限': 0.75,
+        '蛋氨酸_下限': 0.25,
+        '钙_下限': 0.5,
+        '磷_下限': 0.4
+    }
+
+    # 运行优化
+    result = optimize_feed.optimize_feed(requirements, ingredients, ['比例', '成本'], 'min')
+    print("优化结果:")
+    for key, value in result.items():
+        print(f"{key}: {value}")
diff --git a/optimize_feed.py b/optimize_feed.py
new file mode 100644
index 0000000..e9c123d
--- /dev/null
+++ b/optimize_feed.py
@@ -0,0 +1,48 @@
+import pulp
+def optimize_feed(requirements, ingredients, result_fields, optimization_type='min'):
+    """
+    优化饲料配方，计算最低/最高目标值的原料比例
+    :param requirements: 猪营养需求字典，如 {'蛋白_下限': 16, '能量_下限': 12, '纤维_上限': 8}
+    :param ingredients: 原料数据字典，如 {'构树叶': {'蛋白': 18, '能量': 10, '纤维': 5, '价格': 500}}
+    :param result_fields: 结果字段列表，如 ['比例', '成本']
+    :param optimization_type: 'min'（最小化，如成本）或 'max'（最大化，如消化率）
+    :return: 字典，含结果字段和值，如 {'构树叶': {'比例': 0.2, '成本': 100}, '总成本': 1475}
+    """
+    # 创建模型
+    sense = pulp.LpMinimize if optimization_type == 'min' else pulp.LpMaximize
+    model = pulp.LpProblem("Feed_Optimization", sense)
+
+    # 决策变量：原料比例（0-1）
+    x = pulp.LpVariable.dicts("比例", ingredients, lowBound=0, upBound=1)
+
+    # 目标函数：优化指定字段（如价格）
+    target_field = next(f for f in ingredients[list(ingredients.keys())[0]] if '价格' in f or '成本' in f)  # 默认优化价格
+    model += pulp.lpSum([x[i] * ingredients[i][target_field] for i in ingredients]), "目标"
+
+    # 约束1：总比例=100%
+    model += pulp.lpSum([x[i] for i in ingredients]) == 1, "总比例"
+
+    # 约束2：营养需求（下限/上限）
+    for req, value in requirements.items():
+        if '下限' in req:
+            nutrient = req.replace('_下限', '')
+            model += pulp.lpSum([x[i] * ingredients[i][nutrient] for i in ingredients]) >= value, req
+        elif '上限' in req:
+            nutrient = req.replace('_上限', '')
+            model += pulp.lpSum([x[i] * ingredients[i][nutrient] for i in ingredients]) <= value, req
+
+    # 求解
+    model.solve()
+
+    # 构建结果
+    if pulp.LpStatus[model.status] != 'Optimal':
+        return {"错误": "无解！检查原料数据或需求（比如纤维全超上限？）"}
+
+    result = {}
+    total_target = pulp.value(model.objective)
+    result['总' + target_field] = round(total_target, 2)
+    for i in ingredients:
+        result[i] = {field: round(pulp.value(x[i]) * 100, 2) if field == '比例' else round(
+            pulp.value(x[i]) * ingredients[i][target_field], 2) for field in result_fields}
+    return result
+