{
    "info": {
        "author": "Kevin Hill",
        "author_email": "kevin@funguana.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# Funhandler\nThis is the general data handler for the funguana main trading bot.\n\nTODO: Transition to a Gym-like environment.\n\n```python\n    bars, done = env.step(action=action, selector=selection)\n\n    process_bars(bars, dispatcher=dispatcher)\n```\n\n\n## Requirements\n- pandas\n- funtime\n- funpicker\n- dask[complete]\n## How to install\n```\npip install funhandler\n```\nThis is the general data handler for the funguana main trading bot\n\nUse to run through various events inside of the DB.\n\nor use this:\n```python\nfh.set_host('localhost')\nfh.set_store_name('test_store_name')\nfh.set_storage_model('local')\nfh.set_local_storage_info(base_path='/tmp', storage_folder='parquet_data')\nfh.initialize_database()\nunique_data = {\n    \"type\": \"price\",\n    \"base\": \"ETC\",\n    \"trade\": \"BTC\",\n    \"exchange\": \"binance\",\n    \"period\": \"minute\"\n}\nfh.add_bars([unique_data])\nfh.load_data(**unique_data)\n\nwhile fh.is_still_bars(**unique_data):\n    unique_data.update({'limit': 5})\n    bars = fh.get_latest_bar_v2(**unique_data)\n    print(bars)\n```\n\nresult:\n```\n\u279c python manual_run.py\nRegister Library Type\n   base     close exchange      high    ...     trade   type volumefrom  volumeto\n25  ETC  0.001188  binance  0.001189    ...       BTC  price      93.40    0.1110\n26  ETC  0.001187  binance  0.001188    ...       BTC  price     131.26    0.1559\n27  ETC  0.001187  binance  0.001188    ...       BTC  price     192.74    0.2288\n28  ETC  0.001186  binance  0.001187    ...       BTC  price     216.64    0.2570\n29  ETC  0.001187  binance  0.001187    ...       BTC  price       0.00    0.0000\n\n[5 rows x 13 columns]\n   base     close exchange      high    ...     trade   type volumefrom  volumeto\n20  ETC  0.001187  binance  0.001188    ...       BTC  price     366.37   0.43520\n21  ETC  0.001188  binance  0.001189    ...       BTC  price     637.63   0.75680\n22  ETC  0.001189  binance  0.001191    ...       BTC  price    1091.03   1.30000\n23  ETC  0.001189  binance  0.001189    ...       BTC  price     137.56   0.16340\n24  ETC  0.001189  binance  0.001189    ...       BTC  price      12.71   0.01511\n\n[5 rows x 13 columns]\n   base     close exchange      high    ...     trade   type volumefrom  volumeto\n15  ETC  0.001187  binance  0.001188    ...       BTC  price      84.32   0.10010\n16  ETC  0.001188  binance  0.001188    ...       BTC  price     137.08   0.16280\n17  ETC  0.001185  binance  0.001189    ...       BTC  price      80.58   0.09568\n18  ETC  0.001187  binance  0.001187    ...       BTC  price     118.99   0.14120\n19  ETC  0.001187  binance  0.001188    ...       BTC  price      77.80   0.09236\n\n[5 rows x 13 columns]\n   base     close exchange      high    ...     trade   type volumefrom  volumeto\n10  ETC  0.001187  binance  0.001188    ...       BTC  price     719.54    0.8544\n11  ETC  0.001186  binance  0.001188    ...       BTC  price     154.78    0.1839\n12  ETC  0.001188  binance  0.001188    ...       BTC  price     232.66    0.2763\n13  ETC  0.001186  binance  0.001188    ...       BTC  price     100.48    0.1192\n14  ETC  0.001188  binance  0.001188    ...       BTC  price     183.76    0.2181\n\n[5 rows x 13 columns]\n  base     close exchange      high    ...     trade   type volumefrom  volumeto\n5  ETC  0.001186  binance  0.001187    ...       BTC  price     274.22    0.3253\n6  ETC  0.001186  binance  0.001187    ...       BTC  price     636.99    0.7560\n7  ETC  0.001186  binance  0.001186    ...       BTC  price      89.31    0.1059\n8  ETC  0.001187  binance  0.001188    ...       BTC  price     193.95    0.2300\n9  ETC  0.001188  binance  0.001188    ...       BTC  price     159.30    0.1892\n\n[5 rows x 13 columns]\n  base     close exchange      high    ...     trade   type volumefrom  volumeto\n0  ETC  0.001185  binance  0.001186    ...       BTC  price     150.20   0.17800\n1  ETC  0.001186  binance  0.001187    ...       BTC  price     161.09   0.19100\n2  ETC  0.001186  binance  0.001187    ...       BTC  price     601.29   0.71350\n3  ETC  0.001186  binance  0.001186    ...       BTC  price      38.33   0.04546\n4  ETC  0.001186  binance  0.001186    ...       BTC  price     246.29   0.29210\n\n[5 rows x 13 columns]\n```\n\n\n## Session Object\n\nUpon reading the code for funhandler. We decided that the foundation of the code was perfect for our session store. The session store is the piece of code we use with strategies to handle outside information. This includes online learning/estimation algorithms, and constant data that needs to be called upon. It has many of the same calls the normal funhandler library has.\n\n```python\nsess = Session()\nsess.set_host('localhost')\nsess.set_store_name('test_store_name')\nsess.set_storage_model('local')\nsess.set_local_storage_info(base_path='/tmp', storage_folder='parquet_data')\nsess.initialize_database()\n\n\n\n# sess.load_bars({...})\n\n# while fh.is_still_bars(**unique_data):\n#     unique_data.update({'limit': 5})\n#     bars = fh.get_latest_bar_v2(**unique_data)\n#     print(bars)\n\n\n# Adding state information as well\n\nsess.add(CustomReinforcementAlgorithm())\nsess.add(CustomDispatcher())\nsess.add(CustomEstimatorCode())\n\n```\n\n\n\n\n",
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