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        "author": "R\u00e9mi 'Mr e-RL'LANGDORPH",
        "author_email": "r.langdorph@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "# MrlDB by R\u00e9mi \"Mr e-RL\" LANGDORPH\n## Copyright (c) 2019 R\u00e9mi LANGDORPH - mrerl@warlegend.net (under MIT license)\n\n# mrldb is a powerfull database handler for python\n## Links:\n#### [pypi project](https://pypi.org/project/mrldb/)\n#### [github repo](https://github.com/merlleu/mrldb)\n\n## Install with pypi:\n```\npip install mrldb\n```\n\n### This package supports the followings database systems: mariadb, mysql, cassandra, sqlite3\n# DOCUMENTATION\n\n* **MrlDBCluster**(): a cluster of databases, the last created *MrlDBCluster* can be accessible via **mdbcl**\n  * *MrlDBCluster*.**get**(*name*): return the **MrlDB** from the alias or the name\n  * *MrlDBCluster*.**add**(*name, db, aliases=[]*): add a ***MrlDB*** object with the name (overwrite if an object has the same name), and link the aliases\n  * *MrlDBCluster*.**addalias**(*name, aliases*): link aliases to the name\n  * *MrlDBCluster*.**get_cluster_infos**(): return a **dict** with all the config of the connections `{\"name\": {config...}}`\n\n  * *MrlDBCluster* **[name]**: return the db from the alias or the name\n  * **for name, connection in** *MrlDBCluster*: iterate over a list of **tuple** `(dbname, connection)`\n\n  * *MrlDBCluster*.**dbs**: a **dict** with all the connections `{\"conn1\": <MrlDB>, ...}`\n  * *MrlDBCluster*.**aliases**: a **dict** with all the aliases and the realname `{\"alias\": \"realname\", ...}`\n```python\nfrom mrldb import MrlDBCluster, mdbcl\nmycluster=MrlDBCluster()\n```\n* **mdbcl**: return  the last created **MrlDBCluster**\n```python\nprint(mdbcl)\n```\n\n* **mdbstr**: an object to generate sql commands(**str**), (the same as the one included in the **MrlDB** classes)\n  * *mdbstr*.**insert**(*table, data*): return **str** command to insert a new record\n    * table is a **str** of the table where the insert must be executed\n    * data is **dict** with the columns and the values to insert {\"col1\": \"value1\", \"col2\", 3.14}\n  * *mdbstr*.**update**(*table, data, conds=None*): return **str** command to update an existing(s) record(s)\n    * table is a **str** of the table where the update must be executed\n    * data is **dict** with the columns and the values to update {\"col1\": \"value1\", \"col2\", 3.14}\n    * conds are a **str** object as `\"col1='test' and col2=5\"` or a **NoneType** object if you want to update all the records of your table\n  * *mdbstr*.**select**(*table, columns, conds=None*): return **str** command to get record(s) value(s)\n    * table is a **str** of the table where the select is executed\n    * data is **list** with the columns to get or a `\"*\"` to get all the columns\n    * conds are a **str** object as `\"col1='test' and col2=5\"` or a **NoneType** object if you want to select all the records of your table\n\n## ***MrlDB*** classes\n* **MrlDB** base class: (Base of MrlDBCassandra, MrlDBMsql, MrlDBSqlite)\n  * *MrlDB*.**insert**(*table, data*): insert a new record\n    * table is a **str** of the table where the insert must be executed\n    * data is **dict** with the columns and the values to insert {\"col1\": \"value1\", \"col2\", 3.14}\n  * *MrlDB*.**update**(*table, data, conds=None*): update an existing(s) record(s)\n    * table is a **str** of the table where the update must be executed\n    * data is **dict** with the columns and the values to update {\"col1\": \"value1\", \"col2\", 3.14}\n    * conds are a **str** object as `\"col1='test' and col2=5\"` or a **NoneType** object if you want to update all the records of your table\n  * *MrlDB*.**select**(*table, columns, conds=None*): get record(s) value(s)\n    * table is a **str** of the table where the select is executed\n    * data is **list** with the columns to get or a `\"*\"` to get all the columns\n    * conds are a **str** object as `\"col1='test' and col2=5\"` or a **NoneType** object if you want to select all the records of your table\n  * *MrlDB*.**init**(): create (or ignoreif they already exists) the tables from the db structure\n  * *MrlDB*.**cursor**: a connection, you can use *MrlDB*.**cursor**.*execute*(command)\n  * *MrlDB*.**structure**: a **dict** of the db structure or a **NoneType** object if not specified\n  * *MrlDB*.**_config**: a **dict** of the connexion config\n  * *MrlDB*.**_getinfos**(): return *MrlDB*.**_config**\n\n\n* **MrlDBCassandra**(*cluster, db=None, structure=None, username=None, password=None*): a cassandra cluster handler, require library `cassandra-driver`\n  * you can use the database you want or don't use it\n  * username and passsword are only used with PlainTextAuthProvider, if you've configured users and password for your db, else, we're connecting as anonymous\n\n* **MrlDBMsql**(*host, database=None, structure=None, user=None, password=None*): a cassandra cluster handler, require library `mysql`\n  * host is the ip adress of the host or a dns-resolvable name of the host\n  * you can use the database you want\n  * username and passsword are only used with PlainTextAuthProvider, if you've configured users and password for your db, else, we're connecting as anonymous\n\n* **MrlDBSqlite**(*file, structure=None, autocommit=0*): a sqlite file handler, require base library `sqlite3` (not recommanded)\n  * the file is sqlite3 db file\n  * autocommit is the time in seconds (can be a float) between each autocommit, disabled if set 0 (by default)\n\n\n## STRUCTURE argument\n#### with structure, you can get the column names with the results in a dict for each records\n#### structure is an argument for all the DB classes, it must be a None oject or a dictionnary:\n```python\nMrlDBCassandra(... ,structure={\"table0\": {\"col1\": \"integer unique\", \"col2\": \"text\"}, \"table2\": {\"name\": \"text\"}}, ...)\n```\n\n\n\n# Tutorial script:\n```python\nfrom mrldb import MrlDBCassandra, MrlDBCluster, mdbcl, mdbstr\n```\n\n* we add a simple cassandra cluster as connection to the mrldb cluster, we set cc0 as an alias to the db\n```python\nmdbcl.add(\"cassandracluster0\", MrlDBCassandra(\"127.0.0.2\"), aliases=[\"cc0\"])\n```\n* we can add other aliases to this connection:\n```python\nmdbcl.addalias(\"cassandracluster0\", [\"cc0_\", \"cassandra0\", \"testcluster\"])\n```\n* you can connect to your host with password and username\n```python\nmdbcl.add(\"cassandracluster1\", MrlDBCassandra(\"127.0.0.3\", username=\"admin\", password=\"something\"))\n```\n* you can specify the database too\n```python\nmdbcl.add(\"cassandracluster2\", MrlDBCassandra(\"127.0.0.4\", database=\"mydbtest\", aliases=[\"cc3\"]))\n```\n* and the best, you can provide database structure to have advanced features\n```python\nmdbcl.add(\"cassandracluster3\", MrlDBCassandra(\"127.0.0.5\", database=\"mydbtest\",\nstructure={\"table0\": {\"col1\": \"integer unique\", \"col2\": \"text\"}, \"table2\": {\"name\": \"text\"}}), aliases=[\"cc3\"])\n```\n\nthe following examples are working for all the differents database systems\n## SELECT\n* with the correct structure, the following command will give you for each records a dict with the col name and the value, (you can replace the columns by a `\"*\"`\n```python\nmdbcl.get(\"cc3\").select(table=\"table0\", columns=[\"col1\"], conds=None)\n```\n`result= [{\"col1\": 0}, {\"col1\": 1}...]`\n\n* you can use this without structure, it just return the results without dictionnarys\n```python\nmdbcl.get(\"cc2\").select(table=\"table0\", columns=[\"col1\"], conds=None)\n```\n`result= [(0, ), (1, )...]`\n\n* you can use conditions\n```python\nmdbcl.get(\"cc3\").select(table=\"table0\", columns=\"*\", conds=\"col2='test'\")\n```\n`result= [{\"col1\": 0, \"col2\": \"test\"}, ...]`\n* in sql (not in cql !), you can do sql subrequests, we are formatting them with **mdbstr** class\n```python\nmdbcl.get(\"cc3\").select(table=\"table0\", columns=\"*\", conds=f\"\"\"(col2='test') or (col1 not in ({mdbstr.select(table='table2', columns='*', conds=\"name='john' \")}))\"\"\")\n```\nwill execute this command: `\"SELECT * FROM table0 WHERE (col2='test') or (in (SELECT * FROM table2 WHERE name='john' ))\"`\n###### `result= [{\"col1\": 0, \"col2\": \"test\"}, ...]`\n\n\n## INSERT\n* data is a dict with all the values to insert\n```python\nmdbcl.get(\"cc3\").insert(table=\"table0\", data={\"col1\": 5, \"col2\": \"ok\"})\n```\n\n## UPDATE\n* use data as the insert command, you can specify conditions with conds\n```python\nmdbcl.get(\"cc3\").update(table=\"table0\", data={\"col1\": 5, \"col2\": \"ok\"}, conds=\"col2='test'\")\n```\n\n\n## DB init\n* will create the table (or ignore if exists) as the structure\n```python\nmdbcl.get(\"cc3\").init()\n```\n\n### with `structure={\"table0\": {\"col1\": \"integer unique\", \"col2\": \"text\"}, \"table2\": {\"name\": \"text\"}}`\n### will execute the following commands:\n```python\n['CREATE TABLE IF NOT EXISTS table0(col1 integer unique, col2 text)',\n 'CREATE TABLE IF NOT EXISTS table2(name text)']\n ```",
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