{
    "info": {
        "author": "Mustafa Atik",
        "author_email": "muatik@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "# Flask-profiler\n\n\n**version: 1.8** [![Build Status](https://travis-ci.org/muatik/flask-profiler.svg?branch=master)](https://travis-ci.org/muatik/flask-profiler)\n\n##### Flask-profiler measures endpoints defined in your flask application; and provides you fine-grained report through a web interface.\n\nIt gives answers to these questions:\n* Where are the bottlenecks in my application?\n* Which endpoints are the slowest in my application?\n* Which are the most frequently called endpoints?\n* What causes my slow endpoints? In which context, with what args and kwargs are they slow?\n* How much time did a specific request take?\n\nIn short, if you are curious about what your endpoints are doing and what requests they are receiving, give a try to flask-profiler.\n\nWith flask-profiler's web interface, you can monitor all your endpoints' performance and investigate endpoints and received requests by drilling down through filters.\n\n## Screenshots\n\nDashboard view displays a summary.\n\n![Alt text](resources/dashboard_screen.png?raw=true \"Dashboard view\")\n\nYou can create filters to investigate certain type requests.\n\n![Alt text](resources/filtering_all_screen.png?raw=true \"Filtering by endpoint\")\n\n![Alt text](resources/filtering_method_screen.png?raw=true \"Filtering by method\")\n\nYou can see all the details of a request.\n![Alt text](resources/filtering_detail_screen.png?raw=true \"Request detail\")\n\n## Quick Start\nIt is easy to understand flask-profiler going through an example. Let's dive in.\n\nInstall flask-profiler by pip.\n```sh\npip install flask_profiler\n```\n\n\nEdit your code where you are creating Flask app.\n```python\n# your app.py\nfrom flask import Flask\nimport flask_profiler\n\napp = Flask(__name__)\napp.config[\"DEBUG\"] = True\n\n# You need to declare necessary configuration to initialize\n# flask-profiler as follows:\napp.config[\"flask_profiler\"] = {\n    \"enabled\": app.config[\"DEBUG\"],\n    \"storage\": {\n        \"engine\": \"sqlite\"\n    },\n    \"basicAuth\":{\n        \"enabled\": True,\n        \"username\": \"admin\",\n        \"password\": \"admin\"\n    },\n    \"ignore\": [\n\t    \"^/static/.*\"\n\t]\n}\n\n\n@app.route('/product/<id>', methods=['GET'])\ndef getProduct(id):\n    return \"product id is \" + str(id)\n\n\n@app.route('/product/<id>', methods=['PUT'])\ndef updateProduct(id):\n    return \"product {} is being updated\".format(id)\n\n\n@app.route('/products', methods=['GET'])\ndef listProducts():\n    return \"suppose I send you product list...\"\n\n@app.route('/static/something/', methods=['GET'])\ndef listProducts():\n    return \"this should not be tracked...\"\n\n# In order to active flask-profiler, you have to pass flask\n# app as an argument to flask-profiler.\n# All the endpoints declared so far will be tracked by flask-profiler.\nflask_profiler.init_app(app)\n\n\n# endpoint declarations after flask_profiler.init_app() will be\n# hidden to flask_profiler.\n@app.route('/doSomething', methods=['GET'])\ndef doSomething():\n    return \"flask-profiler will not measure this.\"\n\n\n# But in case you want an endpoint to be measured by flask-profiler,\n# you can specify this explicitly by using profile() decorator\n@app.route('/doSomethingImportant', methods=['GET'])\n@flask_profiler.profile()\ndef doSomethingImportant():\n    return \"flask-profiler will measure this request.\"\n\nif __name__ == '__main__':\n    app.run(host=\"127.0.0.1\", port=5000)\n\n\n```\n\nNow run your `app.py`\n```\npython app.py\n```\n\nAnd make some requests like:\n```sh\ncurl http://127.0.0.1:5000/products\ncurl http://127.0.0.1:5000/product/123\ncurl -X PUT -d arg1=val1 http://127.0.0.1:5000/product/123\n```\n\nIf everything is okay, Flask-profiler will measure these requests. You can see the result heading to http://127.0.0.1:5000/flask-profiler/ or get results as JSON http://127.0.0.1:5000/flask-profiler/api/measurements?sort=elapsed,desc\n\nIf you like to initialize your extensions in other files or use factory apps pattern, you can also create a instance of the `Profiler` class, this will register all your endpoints once you app run by first time. E.g:\n\n```python\nfrom flask import Flask\nfrom flask_profiler import Profiler\n\nprofiler = Profiler()\n\napp = Flask(__name__)\n\napp.config[\"DEBUG\"] = True\n\n# You need to declare necessary configuration to initialize\n# flask-profiler as follows:\napp.config[\"flask_profiler\"] = {\n    \"enabled\": app.config[\"DEBUG\"],\n    \"storage\": {\n        \"engine\": \"sqlite\"\n    },\n    \"basicAuth\":{\n        \"enabled\": True,\n        \"username\": \"admin\",\n        \"password\": \"admin\"\n    },\n    \"ignore\": [\n        \"^/static/.*\"\n    ]\n}\n\nprofiler = Profiler()  # You can have this in another module\nprofiler.init_app(app)\n# Or just Profiler(app)\n\n@app.route('/product/<id>', methods=['GET'])\ndef getProduct(id):\n    return \"product id is \" + str(id)\n\n```\n\n## Using with different database system\nYou can use flaskprofiler with **SqlLite**, **MongoDB**, **Postgresql**, **Mysql** or **MongoDB** database systems. However, it is easy to support other database systems. If you would like to have others, please go to contribution documentation. (It is really easy.)\n\n### SQLite\nIn order to use SQLite, just specify it as the value of `storage.engine` directive as follows.\n\n```json\napp.config[\"flask_profiler\"] = {\n    \"storage\": {\n        \"engine\": \"sqlite\",\n    }\n}\n```\n\nBelow the other options are listed.\n\n| Filter key   |      Description      |  Default |\n|----------|-------------|------|\n| storage.FILE | SQLite database file name | flask_profiler.sql|\n| storage.TABLE | table name in which profiling data will reside | measurements |\n\n### MongoDB\nIn order to use MongoDB, just specify it as the value of `storage.engine` directive as follows.\n\n```json\napp.config[\"flask_profiler\"] = {\n    \"storage\": {\n        \"engine\": \"mongodb\",\n    }\n}\n```\n\n### SQLAchemy\nIn order to use SQLAchemy, just specify it as the value of `storage.engine` directive as follows.\nAlso first create an empty database with the name \"flask_profiler\".\n\n```python\napp.config[\"flask_profiler\"] = {\n    \"storage\": {\n        \"engine\": \"sqlalchemy\",\n        \"db_url\": \"postgresql://user:pass@localhost:5432/flask_profiler\"  # optional, if no db_url specified then sqlite will be used.\n    }\n}\n```\n\n### Custom database engine\nSpecify engine as string module and class path.\n\n```json\napp.config[\"flask_profiler\"] = {\n    \"storage\": {\n        \"engine\": \"custom.project.flask_profiler.mysql.MysqlStorage\",\n        \"MYSQL\": \"mysql://user:password@localhost/flask_profiler\"\n    }\n}\n```\n\nThe other options are listed below.\n\n| Filter key   |      Description      |  Default\n|----------|-------------|------\n| storage.MONGO_URL | mongodb connection string | mongodb://localhost\n| storage.DATABASE | database name | flask_profiler\n| storage.COLLECTION | collection name | measurements\n\n### Sampling\nControl the number of samples taken by flask-profiler\n\nYou would want control over how many times should the flask profiler take samples while running in production mode.\nYou can supply a function and control the sampling according to your business logic.\n\nExample 1: Sample 1 in 100 times with random numbers\n```python\napp.config[\"flask_profiler\"] = {\n    \"sampling_function\": lambda: True if random.sample(list(range(1, 101)), 1) == [42] else False\n}\n```\n\nExample 2: Sample for specific users\n```python\napp.config[\"flask_profiler\"] = {\n    \"sampling_function\": lambda: True if user is 'divyendu' else False\n}\n```\n\nIf sampling function is not present, all requests will be sampled.\n\n### Changing flask-profiler endpoint root\nBy default, we can access flask-profiler at <your-app>/flask-profiler\n\n```python\napp.config[\"flask_profiler\"] = {\n        \"endpointRoot\": \"secret-flask-profiler\"\n}\n```\n\n### Ignored endpoints\nFlask-profiler will try to track every endpoint defined so far when init_app() is invoked. If you want to exclude some of the endpoints, you can define matching regex for them as follows:\n\n```python\napp.config[\"flask_profiler\"] = {\n        \"ignore\": [\n\t        \"^/static/.*\",\n\t        \"/api/users/\\w+/password\"\n        ]\n}\n```\n\n\n## Contributing\n\nContributions are welcome!\n\nReview the [Contributing Guidelines](https://github.com/muatik/flask-profiler/wiki/Development) for details on how to:\n\n* Submit issues\n* Add solutions to existing challenges\n* Add new challenges\n\n## Authors\n* [Musafa Atik](https://www.linkedin.com/in/muatik)\n* Fatih Sucu\n* [Safa Yasin Yildirim](https://www.linkedin.com/in/safayasinyildirim)\n\n## License\nMIT\n",
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        "license": "The MIT License (MIT)\n\nCopyright (c) 2015 Mustafa Atik\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\n",
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