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Merge pull request #98 from JimacoMS4/python-function-v4-updates-flat
Cognitive search SWA Python function v4 updates (w/ flat file structure)
2 parents 1e099fa + b31aa91 commit 3d876e4

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.gitignore

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# mypy
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.mypy_cache/
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# Azurite files for local environment
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__azurite_*
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.git*
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.vscode
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local.settings.json
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test
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.venv
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don’t work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# Azure Functions artifacts
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bin
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obj
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appsettings.json
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local.settings.json
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# Azurite artifacts
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__blobstorage__
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__queuestorage__
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__azurite_db*__.json
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.python_packages
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{
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"recommendations": [
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"ms-azuretools.vscode-azurefunctions",
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"ms-python.python"
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]
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}
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{
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Attach to Python Functions",
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"type": "python",
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"request": "attach",
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"port": 9091,
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"preLaunchTask": "func: host start"
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}
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]
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}
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{
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"azureFunctions.deploySubpath": ".",
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"azureFunctions.scmDoBuildDuringDeployment": true,
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"azureFunctions.pythonVenv": ".venv",
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"azureFunctions.projectLanguage": "Python",
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"azureFunctions.projectRuntime": "~4",
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"debug.internalConsoleOptions": "neverOpen",
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"azureFunctions.projectLanguageModel": 2
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}
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{
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"version": "2.0.0",
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"tasks": [
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{
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"type": "func",
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"command": "host start",
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"problemMatcher": "$func-python-watch",
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"isBackground": true,
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"dependsOn": "pip install (functions)"
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},
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{
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"label": "pip install (functions)",
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"type": "shell",
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"osx": {
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"command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
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},
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"windows": {
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"command": "${config:azureFunctions.pythonVenv}/Scripts/python -m pip install -r requirements.txt"
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},
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"linux": {
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"command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
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},
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"problemMatcher": []
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}
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]
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}
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import azure.functions as func
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import logging
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import json
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from search import bp as search_bp
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from lookup import bp as lookup_bp
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from suggest import bp as suggest_bp
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app = func.FunctionApp(http_auth_level=func.AuthLevel.ANONYMOUS)
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app.register_functions(lookup_bp)
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app.register_functions(search_bp)
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app.register_functions(suggest_bp)
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{
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"version": "2.0",
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"logging": {
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"applicationInsights": {
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"samplingSettings": {
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"isEnabled": true,
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"excludedTypes": "Request"
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}
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}
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},
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"extensionBundle": {
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"id": "Microsoft.Azure.Functions.ExtensionBundle",
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"version": "[4.*, 5.0.0)"
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}
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}
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{
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"IsEncrypted": false,
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"Values": {
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"AzureWebJobsStorage": "",
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"AzureWebJobsFeatureFlags": "EnableWorkerIndexing",
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"FUNCTIONS_WORKER_RUNTIME": "python",
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"SearchApiKey": "YOUR-SEARCH-QUERY-KEY",
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"SearchServiceName": "YOUR-SEARCH-RESOURCE-NAME",
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"SearchIndexName": "good-books",
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"SearchFacets": "authors*,language_code"
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},
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"Host": {
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"CORS": "*"
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}
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}

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