Init

.gitignore

+# 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/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# 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
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .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
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# 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/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+.idea/

requirements.txt

+anyio==3.6.1
+click==8.1.3
+fastapi==0.78.0
+h11==0.13.0
+idna==3.3
+pydantic==1.9.1
+sniffio==1.2.0
+starlette==0.19.1
+typing_extensions==4.2.0
+uvicorn==0.18.1

runme.sh

+#!/bin/bash
+source venv/bin/activate
+uvicorn server:app

server.py

+from __future__ import annotations
+from fastapi import FastAPI, Body
+from pydantic import BaseModel
+from typing import Tuple, List, Dict
+import json
+import os
+
+
+OUTPUT_DIR = "./temp/"
+MAP_NAME = "map.txt"
+TAG_LIST_NAME = "tags.json"
+
+app = FastAPI()
+
+class MapData(BaseModel):
+    esri: str
+    arucos: List[Dict]
+
+
+@app.get("/")
+async def hello():
+    return {"Hello": "world"}
+
+
+@app.post("/map")
+async def post_map(the_map: MapData):
+    write_map(the_map)
+    return "ok"
+
+
+def write_map(map_data: MapData):
+    dir_name = os.getenv("OUTPUT_DIRECTORY", default=OUTPUT_DIR)
+    map_filename = path_join(dir_name, MAP_NAME)
+    tag_filename = path_join(dir_name, MAP_NAME)
+    with open(map_filename, 'w') as map_file:
+        map_file.write(map_data.esri)
+    with open(tag_filename, 'w') as tag_file:
+        jdic = {
+            "tags": map_data.arucos
+        }
+        json.dump(jdic, tag_file)
+
+
+def path_join(p, f):
+    return os.path.join(p, f)
+
+