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deploy/wsl/conda/README.md
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# WSL Shared Conda Runtime
此目录用于维护当前统一的 WSL 共享 conda 运行时文档与锁定文件。
## 当前策略
当前项目不再建议为 `isce2`、`timeseries`、`pyint` 分别维护多套相互漂移的 conda 环境，而是收口为：
- `base`
- `insar_wsl_v1`
目标是让以下链路共享同一套 Python 运行时：
- ISCE2 D-InSAR
- 时序 InSAR 当前 SBAS 流程
- Gamma / PyINT 的 Python 胶水层
说明：
- Gamma 二进制本体仍然保持固定安装位置，不建议放入 conda。
- Gamma 相关的 `PATH`、`GAMMA_HOME`、脚本目录注入，统一由 `deploy/wsl/profiles/gamma_env.sh` 负责。
## 当前约定产物
本目录建议维护以下文件：
- `insar_wsl_v1.environment.yml`
人工可读、可维护的环境定义。
- `insar_wsl_v1.explicit.lock`
由 `conda list --explicit` 导出的精确锁文件。
- `insar_wsl_v1.fingerprint.json`
用于记录 Python 版本、关键包版本、生成时间等信息。
## 推荐工作流
### 1. 在 WSL 中核出现有环境
先查看现有环境：
```bash
conda env list
```
逐个导出候选环境包列表，用于做并集：
```bash
conda list -n isce2
conda list -n isce2_mintpy_v1
conda list -n pyint
```
### 2. 整理并集并创建新环境
推荐先人工整理 `insar_wsl_v1.environment.yml`，再创建环境：
```bash
conda env create -n insar_wsl_v1 -f deploy/wsl/conda/insar_wsl_v1.environment.yml
```
如果环境已存在：
```bash
conda env update -n insar_wsl_v1 -f deploy/wsl/conda/insar_wsl_v1.environment.yml --prune
```
### 3. 生成锁文件与指纹
```bash
conda env export --from-history -n insar_wsl_v1 > deploy/wsl/conda/insar_wsl_v1.environment.yml
conda list --explicit -n insar_wsl_v1 > deploy/wsl/conda/insar_wsl_v1.explicit.lock
```
```bash
python - <<'PY'
import json
import subprocess
def sh(*argv):
return subprocess.check_output(argv, text=True).strip()
payload = {
"python_version": sh("python", "--version"),
"conda_env": "insar_wsl_v1",
"isce_version": sh("python", "-c", "import isce, sys; print(getattr(isce, '__file__', 'unknown'))"),
}
print(json.dumps(payload, indent=2, ensure_ascii=False))
PY
```
将输出整理后保存为 `insar_wsl_v1.fingerprint.json`。
## .env 对齐要求
共享环境建好后，应确保 `.env` 中以下键值一致：
```env
WSL_DISTRO=Ubuntu-24.04
WSL_SHARED_CONDA_ENV=insar_wsl_v1
WSL_SHARED_PYTHON=/home/administrator/miniconda3/envs/insar_wsl_v1/bin/python
ISCE2_PYTHON=/home/administrator/miniconda3/envs/insar_wsl_v1/bin/python
TIMESERIES_ENV_NAME=insar_wsl_v1
TIMESERIES_PYTHON=/home/administrator/miniconda3/envs/insar_wsl_v1/bin/python
PYINT_WSL_PYTHON=/home/administrator/miniconda3/envs/insar_wsl_v1/bin/python
```
## 运维验证
系统启动后，运维自检中的 `wsl_runtime` 应满足：
- `shared_distro = Ubuntu-24.04`
- `shared_conda_env_name = insar_wsl_v1`
- `required_runtime_count == healthy_runtime_count`
如果健康面板显示 Python 路径不一致，说明仍然有旧环境残留在配置层或运行时注册层。
deploy/wsl/conda/insar_wsl_v1.environment.yml
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name: insar_wsl_v1
channels:
- conda-forge
- defaults
dependencies:
- _openmp_mutex=4.5
- _x86_64-microarch-level=4
- aom=3.9.1
- argcomplete=3.6.3
- attr=2.5.2
- attrs=26.1.0
- aws-c-auth=0.9.3
- aws-c-cal=0.9.13
- aws-c-common=0.12.6
- aws-c-compression=0.3.1
- aws-c-event-stream=0.5.7
- aws-c-http=0.10.7
- aws-c-io=0.23.3
- aws-c-mqtt=0.13.3
- aws-c-s3=0.11.3
- aws-c-sdkutils=0.2.4
- aws-checksums=0.2.7
- aws-crt-cpp=0.35.2
- aws-sdk-cpp=1.11.606
- azure-core-cpp=1.16.1
- azure-identity-cpp=1.13.2
- azure-storage-blobs-cpp=12.15.0
- azure-storage-common-cpp=12.11.0
- azure-storage-files-datalake-cpp=12.13.0
- backports.zstd=1.3.0
- blosc=1.21.6
- bokeh=3.9.0
- brotli=1.2.0
- brotli-bin=1.2.0
- brotli-python=1.2.0
- brunsli=0.1
- bzip2=1.0.8
- c-ares=1.34.6
- c-blosc2=2.23.1
- ca-certificates=2026.4.22
- cached-property=1.5.2
- cached_property=1.5.2
- cairo=1.18.4
- capnproto=1.2.0
- cartopy=0.25.0
- cdsapi=0.7.7
- certifi=2026.4.22
- cffi=2.0.0
- cfgv=3.5.0
- cfitsio=4.6.3
- charls=2.4.3
- charset-normalizer=3.4.5
- click=8.3.2
- cloudpickle=3.1.2
- configobj=5.0.9
- contourpy=1.3.3
- cvxopt=1.3.3
- cycler=0.12.1
- cyrus-sasl=2.1.28
- cytoolz=1.1.0
- dask=2026.3.0
- dask-core=2026.3.0
- dask-jobqueue=0.9.0
- dav1d=1.2.1
- distlib=0.4.0
- distributed=2026.3.0
- donfig=0.8.1.post1
- dsdp=5.8
- eccodes=2.46.0
- ecmwf-datastores-client=0.5.1
- fftw=3.3.10
- filelock=3.29.0
- fmt=12.0.0
- font-ttf-dejavu-sans-mono=2.37
- font-ttf-inconsolata=3.000
- font-ttf-source-code-pro=2.038
- font-ttf-ubuntu=0.83
- fontconfig=2.17.1
- fonts-conda-ecosystem=1
- fonts-conda-forge=1
- fonttools=4.62.1
- freeglut=3.2.2
- freetype=2.14.2
- freexl=2.0.0
- fsspec=2026.3.0
- gdal=3.10.3
- geos=3.14.1
- geotiff=1.7.4
- gflags=2.2.2
- giflib=5.2.2
- glog=0.7.1
- glpk=5.0
- gmp=6.3.0
- gsl=2.7
- h2=4.3.0
- h5py=3.15.1
- hdf4=4.2.15
- hdf5=1.14.6
- hpack=4.1.0
- hyperframe=6.1.0
- icu=78.2
- identify=2.6.19
- idna=3.11
- imagecodecs=2026.3.6
- imageio=2.37.0
- importlib-metadata=8.8.0
- isce2=2.6.4
- jasper=4.2.9
- jinja2=3.1.6
- joblib=1.5.3
- json-c=0.18
- jxrlib=1.1
- kealib=1.6.2
- keyutils=1.6.3
- kiwisolver=1.5.0
- krb5=1.22.2
- lazy-loader=0.5
- lcms2=2.18
- ld_impl_linux-64=2.45.1
- lerc=4.1.0
- libabseil=20250512.1
- libacl=2.3.2
- libaec=1.1.5
- libamd=3.3.3
- libarchive=3.8.5
- libarrow=22.0.0
- libarrow-acero=22.0.0
- libarrow-compute=22.0.0
- libarrow-dataset=22.0.0
- libarrow-substrait=22.0.0
- libavif16=1.4.0
- libblas=3.11.0
- libbrotlicommon=1.2.0
- libbrotlidec=1.2.0
- libbrotlienc=1.2.0
- libbtf=2.3.2
- libcamd=3.3.3
- libcblas=3.11.0
- libccolamd=3.3.4
- libcholmod=5.3.1
- libcolamd=3.3.4
- libcrc32c=1.1.2
- libcurl=8.18.0
- libcxsparse=4.4.1
- libdeflate=1.25
- libedit=3.1.20250104
- libev=4.33
- libevent=2.1.12
- libexpat=2.7.4
- libffi=3.5.2
- libfreetype=2.14.2
- libfreetype6=2.14.2
- libgcc=15.2.0
- libgcc-ng=15.2.0
- libgdal=3.10.3
- libgdal-core=3.10.3
- libgdal-fits=3.10.3
- libgdal-grib=3.10.3
- libgdal-hdf4=3.10.3
- libgdal-hdf5=3.10.3
- libgdal-jp2openjpeg=3.10.3
- libgdal-kea=3.10.3
- libgdal-netcdf=3.10.3
- libgdal-pdf=3.10.3
- libgdal-pg=3.10.3
- libgdal-postgisraster=3.10.3
- libgdal-tiledb=3.10.3
- libgdal-xls=3.10.3
- libgfortran=15.2.0
- libgfortran5=15.2.0
- libgl=1.7.0
- libglib=2.86.4
- libglu=9.0.3
- libglvnd=1.7.0
- libglx=1.7.0
- libgomp=15.2.0
- libgoogle-cloud=2.39.0
- libgoogle-cloud-storage=2.39.0
- libgrpc=1.73.1
- libhwy=1.3.0
- libiconv=1.18
- libjpeg-turbo=3.1.2
- libjxl=0.11.2
- libklu=2.3.5
- libkml=1.3.0
- liblapack=3.11.0
- libldl=3.3.2
- liblzma=5.8.2
- libnetcdf=4.9.3
- libnghttp2=1.67.0
- libnsl=2.0.1
- libntlm=1.8
- libopenblas=0.3.30
- libopengl=1.7.0
- libopentelemetry-cpp=1.21.0
- libopentelemetry-cpp-headers=1.21.0
- libparquet=22.0.0
- libparu=1.0.0
- libpng=1.6.55
- libpq=18.3
- libprotobuf=6.31.1
- librbio=4.3.4
- libre2-11=2025.11.05
- librttopo=1.1.0
- libspatialite=5.1.0
- libspex=3.2.3
- libspqr=4.3.4
- libsqlite=3.52.0
- libssh2=1.11.1
- libstdcxx=15.2.0
- libstdcxx-ng=15.2.0
- libsuitesparseconfig=7.10.1
- libthrift=0.22.0
- libtiff=4.7.1
- libumfpack=6.3.5
- liburing=2.14
- libutf8proc=2.11.3
- libuuid=2.41.3
- libwebp-base=1.6.0
- libxcb=1.17.0
- libxcrypt=4.4.36
- libxml2=2.15.2
- libxml2-16=2.15.2
- libxml2-devel=2.15.2
- libxslt=1.1.43
- libzip=1.11.2
- libzlib=1.3.1
- libzopfli=1.0.3
- locket=1.0.0
- lxml=6.0.2
- lz4=4.4.5
- lz4-c=1.10.0
- lzo=2.10
- markdown-it-py=4.0.0
- markupsafe=3.0.3
- matplotlib-base=3.10.8
- mdurl=0.1.2
- metis=5.1.0
- minizip=4.0.10
- mintpy=1.6.3
- mpfr=4.2.2
- msgpack-python=1.1.2
- multiurl=0.3.7
- munkres=1.1.4
- narwhals=2.20.0
- ncurses=6.5
- networkx=3.6.1
- nlohmann_json=3.12.0
- nodeenv=1.10.0
- nspr=4.38
- nss=3.118
- numpy=1.26.4
- openjpeg=2.5.4
- openjph=0.26.3
- openldap=2.6.10
- openmotif=2.3.8
- openssl=3.6.2
- orc=2.2.1
- packaging=26.0
- pandas=3.0.2
- partd=1.4.2
- pcre2=10.47
- pillow=12.1.1
- pip=26.0.1
- pixman=0.46.4
- platformdirs=4.9.6
- poppler=25.07.0
- poppler-data=0.4.12
- postgresql=18.3
- pre-commit=4.6.0
- proj=9.7.1
- prometheus-cpp=1.3.0
- psutil=7.2.2
- pthread-stubs=0.4
- pyaps3=0.3.7
- pyarrow=22.0.0
- pyarrow-core=22.0.0
- pycparser=2.22
- pygments=2.20.0
- pygrib=2.1.8
- pykdtree=1.4.3
- pykml=0.2.0
- pyparsing=3.3.2
- pyproj=3.7.2
- pyresample=1.35.0
- pyshp=3.0.3
- pysocks=1.7.1
- pysolid=0.3.4
- python=3.11.15
- python-dateutil=2.9.0.post0
- python-discovery=1.2.2
- python_abi=3.11
- pytz=2026.1.post1
- pyyaml=6.0.3
- qhull=2020.2
- rav1e=0.8.1
- re2=2025.11.05
- readline=8.3
- requests=2.32.5
- rich=15.0.0
- s2n=1.6.2
- scikit-image=0.26.0
- scipy=1.17.1
- setuptools=82.0.1
- shapely=2.1.2
- six=1.17.0
- snappy=1.2.2
- sortedcontainers=2.4.0
- spdlog=1.16.0
- sqlite=3.52.0
- suitesparse=7.10.1
- svt-av1=4.0.1
- tblib=3.2.2
- tifffile=2026.3.3
- tiledb=2.29.2
- tk=8.6.13
- toolz=1.1.0
- tornado=6.5.5
- tqdm=4.67.3
- typing_extensions=4.15.0
- tzcode=2026a
- tzdata=2025c
- ukkonen=1.1.0
- unicodedata2=17.0.1
- uriparser=0.9.8
- urllib3=2.6.3
- utm=0.7.0
- virtualenv=21.2.4
- wheel=0.46.3
- xerces-c=3.3.0
- xorg-libice=1.1.2
- xorg-libsm=1.2.6
- xorg-libx11=1.8.13
- xorg-libxau=1.0.12
- xorg-libxdmcp=1.1.5
- xorg-libxext=1.3.7
- xorg-libxfixes=6.0.2
- xorg-libxft=2.3.9
- xorg-libxi=1.8.2
- xorg-libxmu=1.3.1
- xorg-libxp=1.0.4
- xorg-libxrender=0.9.12
- xorg-libxt=1.3.1
- xorg-libxxf86vm=1.1.7
- xyzservices=2026.3.0
- yaml=0.2.5
- zfp=1.0.1
- zict=3.0.0
- zipp=3.23.1
- zlib=1.3.1
- zlib-ng=2.3.3
- zstd=1.5.7
- pip:
- affine==2.4.0
- click-plugins==1.1.1.2
- cligj==0.7.2
- rasterio==1.4.4
prefix: /home/administrator/miniconda3/envs/insar_wsl_v1
deploy/wsl/conda/insar_wsl_v1.explicit.lock
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
# created-by: conda 26.1.1
@EXPLICIT
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/_x86_64-microarch-level-4-3_sapphirerapids.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/ca-certificates-2026.4.22-hbd8a1cb_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_2.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libopentelemetry-cpp-headers-1.21.0-ha770c72_1.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/nlohmann_json-3.12.0-h54a6638_1.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/python_abi-3.11-8_cp311.conda
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https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
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https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libopengl-1.7.0-ha4b6fd6_2.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/attr-2.5.2-h39aace5_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/aws-c-common-0.12.6-hb03c661_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/json-c-0.18-h6688a6e_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libbrotlicommon-1.2.0-hb03c661_1.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libdeflate-1.25-h17f619e_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libexpat-2.7.4-hecca717_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_18.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libiconv-1.18-h3b78370_2.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libjpeg-turbo-3.1.2-hb03c661_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libntlm-1.8-hb9d3cd8_0.conda
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda
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deploy/wsl/conda/insar_wsl_v1.fingerprint.json
+22
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@@ -0,0 +1,22 @@
{
"python": "/home/administrator/miniconda3/envs/insar_wsl_v1/bin/python",
"python_version": "3.11.15",
"packages": {
"isce": true,
"rasterio": true,
"osgeo": true,
"numpy": true,
"scipy": true,
"mintpy": true
},
"versions": {
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"gdal": "3100300",
"numpy": "1.26.4",
"scipy": "1.17.1"
},
"module_paths": {
"isce": "/home/administrator/miniconda3/envs/insar_wsl_v1/lib/python3.11/site-packages/isce/__init__.py",
"mintpy": "/home/administrator/miniconda3/envs/insar_wsl_v1/lib/python3.11/site-packages/mintpy/__init__.py"
}
}
deploy/wsl/conda/isce2.legacy.explicit.lock
+221
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@@ -0,0 +1,221 @@
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
# created-by: conda 26.1.1
@EXPLICIT
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