Update readme, remove redundant functions, add isfetchable
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49
README.md
49
README.md
@@ -25,17 +25,44 @@ table name `student` and rows `student_id`, `student_name` with datatypes
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integer and text, respectively. The default value for `student_name` is
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`John Smith`.
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## Creating a new object instance
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## Entry manipulation
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If you create a new object with default Python methods, the object will not
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be inserted into the table by default. However, the classes that are created
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with `datalite` has a argument in their init method. So, if you write
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`Student(1, create_entry=True)` rather than just saying `Student(1)`, the
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entry equivalent of the newly created student will be inserted into
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the table without any problems.
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After creating an object traditionally, given that you used the `sqlify` decorator,
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the object has two new methods: `.create_entry()` and `.remove_entry()`, you
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can add the object to its associated table using the former, and remove it
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using the latter.
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## Deleting an object instance
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```python
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student = Student(10, "Albert Einstein")
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student.create_entry() # Adds the entry to the table associated in db.db
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student.remove_entry() # Removes from the table.
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```
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Another method that is added to any dataclass created with `datalite` is the
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`.remove()` method. By deleting a class with the `.remove()` you will also
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delete its equivalent entry from the database.
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But what if you have created your object in a previous session, or wish
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to remove an object unreachable? ie: If the object is already garbage
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collected by the Python interpreter? `remove_from(class_, obj_id)` is
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a function that can be used for this express purpose, for instance:
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```python
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remove_from(Student, 2) # Removes the Student with obj_id 2.
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```
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Object IDs are auto-incremented, and correspond to the order the entry were
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inserted onto the system.
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## Fetching Records
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Finally, you may wish to recreate objects from a table that already exist, for
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this purpose we have the function `fetch_from(class_, object_id)` as well
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as `is_fetchable(className, object_id)` former fetches a record from the
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SQL database whereas the latter checks if it is fetchable (most likely
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to check if it exists.)
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```python
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>>> fetch_from(Student, 2)
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Student(student_id=10, student_name='Albert Einstein')
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```
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Finally, we have two helper methods, `fetch_range(class_, range_)` and
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`fetch_all(class_)` the former fetches the records fetchable from the object
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id range provided by the user, whereas the latter fetches all records. Both
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return a tuple of `class_` objects.
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@@ -1,28 +1,10 @@
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from os.path import exists
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from pathlib import Path
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import sqlite3 as sql
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from dataclasses import Field, asdict
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from dataclasses import Field, asdict, dataclass
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from typing import List, Dict, Optional, Callable, Any
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def _database_exists(db_path: str) -> bool:
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"""
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Check if a given database exists.
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:param db_path: Relative path of the database, including the extension.
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:return: True if database exists, False otherwise.
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"""
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return exists(db_path)
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def _create_db(db_path: str) -> None:
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"""
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Create the database file.
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:param db_path: Relative path of the database file, including the extension.
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:return: None.
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"""
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Path(db_path).touch()
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def _convert_type(type_: Optional[type], type_overload: Dict[Optional[type], str]) -> str:
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"""
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Given a Python type, return the str name of its
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@@ -90,17 +72,17 @@ def _create_table(class_: type, cursor: sql.Cursor, type_overload: Dict[Optional
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cursor.execute(f"CREATE TABLE IF NOT EXISTS {class_.__name__.lower()} ({sql_fields});")
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def _create_entry(self, cur: sql.Cursor) -> None:
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def _create_entry(self) -> None:
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"""
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Given an object, create the entry for the object. As a side-effect,
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this will set the object_id attribute of the object to the unique
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id of the entry.
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:param cur: Cursor of the database.
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:param self: Instance of the object.
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:param args: Initialisation arguments.
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:param kwargs: Initialisation keyword arguments.
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:return: None.
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"""
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with sql.connect(getattr(self, "db_path")) as con:
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cur: sql.Cursor = con.cursor()
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table_name: str = self.__class__.__name__.lower()
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kv_pairs = [item for item in asdict(self).items()]
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kv_pairs.sort(key=lambda item: item[0]) # Sort by the name of the fields.
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@@ -108,27 +90,12 @@ def _create_entry(self, cur: sql.Cursor) -> None:
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f"{', '.join(item[0] for item in kv_pairs)})"
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f" VALUES ({', '.join(_convert_sql_format(item[1]) for item in kv_pairs)});")
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self.__setattr__("obj_id", cur.lastrowid)
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def _modify_init(dataclass_: type):
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def modifier(self, *args, **kwargs):
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self.__init__()
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if "create_entry" in kwargs and kwargs["create_entry"]:
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try:
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with sql.connect(dataclass_.__db_path__) as con:
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cur: sql.Cursor = con.cursor()
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self._create_entry(cur)
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con.commit()
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except AttributeError:
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raise TypeError("Are you sure this is a datalite class?")
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return modifier
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def sqlify(db_path: str, type_overload: Optional[Dict[Optional[type], str]] = None,
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*args, **kwargs) -> Callable:
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def decorator(dataclass_: type, *args_i, **kwargs_i):
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if not _database_exists(db_path):
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_create_db(db_path)
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type_table: Dict[Optional[type], str] = {None: "NULL", int: "INTEGER", float: "REAL",
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str: "TEXT", bytes: "BLOB"}
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if type_overload is not None:
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@@ -136,7 +103,48 @@ def sqlify(db_path: str, type_overload: Optional[Dict[Optional[type], str]] = No
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with sql.connect(db_path) as con:
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cur: sql.Cursor = con.cursor()
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_create_table(dataclass_, cur, type_table)
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dataclass_.__db_path__ == db_path # We add the path of the database to class itself.
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dataclass_.__init__ = _modify_init(dataclass_) # Replace the init method.
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setattr(dataclass_, 'db_path', db_path) # We add the path of the database to class itself.
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dataclass_.create_entry = _create_entry
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return dataclass_
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return decorator
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def is_fetchable(class_: type, obj_id: int) -> bool:
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"""
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Check if a record is fetchable given its obj_id and
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class_ type.
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:param class_: Class type of the object.
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:param obj_id: Unique obj_id of the object.
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:return: If the object is fetchable.
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"""
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with sql.connect(getattr(class_, 'db_path')) as con:
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cur: sql.Cursor = con.cursor()
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try:
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cur.execute(f"SELECT 1 FROM {class_.__name__.lower()} WHERE obj_id = {obj_id};")
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except sql.OperationalError:
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raise KeyError(f"Table {class_.__name__.lower()} does not exist.")
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return bool(cur.fetchall())
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def fetch_from(class_: type, obj_id: int) -> Any:
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"""
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Fetch a class_ type variable from its bound db.
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:param class_: Class to fetch.
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:param obj_id: Unique object id of the class.
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:return: The object whose data is taken from the database.
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"""
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table_name = class_.__name__.lower()
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if not is_fetchable(class_, obj_id):
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raise KeyError(f"An object with the id {obj_id} in table {table_name} does not exist."
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f"or is otherwise unable to be fetched.")
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if __name__ == "__main__":
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@sqlify(db_path="db.db")
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@dataclass
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class Student:
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student_id: int
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student_name: str = "John Smith"
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is_fetchable(Student, 2)
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