无法使用 conda 部署到 heroku，requirements.txt 失败

如何解决无法使用 conda 部署到 heroku，requirements.txt 失败

我的应用程序无法部署，因为编译器找不到它需要的包。我正在从 conda env 构建一个简单的 django 应用程序。我已经尝试过但不起作用的事情：

pip3 freeze > requirements.txt
conda list -e > requirements.txt
pip3 list --format=freeze > requirements.txt
conda list -e > conda-requirements.txt 
conda env export > environment.yml // used with this buildpack: https://elements.heroku.com/buildpacks/conda/conda-buildpack

在这一点上，我不知所措。我强烈不想写出所有的包，因为安装了 pip 和 conda 包的健康组合。

这是 pip3 list --format=freeze > requirements.txt 的输出：

amqp==2.6.1
anyjson==0.3.3
asgiref==3.2.10
beautifulsoup4==4.9.3
billiard==3.6.4.0
Bottleneck==1.3.2
brotlipy==0.7.0
celery==4.4.2
certifi==2021.5.30
cffi==1.14.5
chardet==4.0.0
click==7.1.2
click-didyoumean==0.0.3
click-plugins==1.1.1
click-repl==0.2.0
cryptography==3.4.7
dj-database-url==0.5.0
Django==3.1.2
django-heroku==0.3.1
gunicorn==20.1.0
idna==2.10
kombu==4.6.11
mkl-fft==1.3.0    // causes build to fail
mkl-random==1.2.1    // causes build to fail
mkl-service==2.3.0    // causes build to fail
numexpr==2.7.3
numpy==1.20.2
pandas==1.2.5
pip==21.1.2
prompt-toolkit==3.0.19
psycopg2==2.8.6
pycountry==20.7.3
pycparser==2.20
pyOpenSSL==20.0.1
PySocks==1.7.1
python-dateutil==2.8.1
pytz==2021.1
requests==2.25.1
setuptools==52.0.0.post20210125
six==1.16.0
soupsieve==2.2.1
sqlparse==0.4.1
urllib3==1.26.4
vine==1.3.0
wcwidth==0.2.5
wheel==0.36.2
whitenoise==5.2.0

这里是 environment.yml：

name: proj
channels:
  - anaconda
  - defaults
dependencies:
  - beautifulsoup4=4.9.3=pyha847dfd_0
  - blas=1.0=mkl
  - bottleneck=1.3.2=py39he3068b8_1
  - brotlipy=0.7.0=py39h9ed2024_1003
  - ca-certificates=2021.7.5=hecd8cb5_1
  - certifi=2021.5.30=py39hecd8cb5_0
  - cffi=1.14.5=py39h2125817_0
  - chardet=4.0.0=py39hecd8cb5_1003
  - cryptography=3.4.7=py39h2fd3fbb_0
  - django=3.1.2=py_0
  - idna=2.10=pyhd3eb1b0_0
  - intel-openmp=2021.2.0=hecd8cb5_564
  - krb5=1.17.1=hddcf347_0
  - libcxx=10.0.0=1
  - libedit=3.1.20210216=h9ed2024_1
  - libffi=3.3=hb1e8313_2
  - libpq=12.2=h051b688_0
  - mkl=2021.2.0=hecd8cb5_269
  - mkl-service=2.3.0=py39h9ed2024_1
  - mkl_fft=1.3.0=py39h4a7008c_2
  - mkl_random=1.2.1=py39hb2f4e1b_2
  - ncurses=6.2=h0a44026_1
  - numexpr=2.7.3=py39h5873af2_1
  - numpy=1.20.2=py39h4b4dc7a_0
  - numpy-base=1.20.2=py39he0bd621_0
  - openssl=1.1.1k=h9ed2024_0
  - pandas=1.2.5=py39h23ab428_0
  - pip=21.1.2=py39hecd8cb5_0
  - psycopg2=2.8.6=py39hbcfaee0_1
  - pycparser=2.20=py_2
  - pyopenssl=20.0.1=pyhd3eb1b0_1
  - pysocks=1.7.1=py39hecd8cb5_0
  - python=3.9.5=h88f2d9e_3
  - python-dateutil=2.8.1=pyhd3eb1b0_0
  - pytz=2021.1=pyhd3eb1b0_0
  - readline=8.1=h9ed2024_0
  - requests=2.25.1=pyhd3eb1b0_0
  - setuptools=52.0.0=py39hecd8cb5_0
  - six=1.16.0=pyhd3eb1b0_0
  - soupsieve=2.2.1=pyhd3eb1b0_0
  - sqlite=3.35.4=hce871da_0
  - sqlparse=0.4.1=py_0
  - tk=8.6.10=hb0a8c7a_0
  - tzdata=2020f=h52ac0ba_0
  - urllib3=1.26.4=pyhd3eb1b0_0
  - wheel=0.36.2=pyhd3eb1b0_0
  - xz=5.2.5=h1de35cc_0
  - zlib=1.2.11=h1de35cc_3
  - pip:
      - amqp==2.6.1
      - anyjson==0.3.3
      - asgiref==3.2.10
      - billiard==3.6.4.0
      - celery==4.4.2
      - click==7.1.2
      - click-didyoumean==0.0.3
      - click-plugins==1.1.1
      - click-repl==0.2.0
      - dj-database-url==0.5.0
      - django-heroku==0.3.1
      - gunicorn==20.1.0
      - kombu==4.6.11
      - prompt-toolkit==3.0.19
      - pycountry==20.7.3
      - vine==1.3.0
      - wcwidth==0.2.5
      - whitenoise==5.2.0
prefix: /Users/name/.conda/envs/envname