139 lines
4.9 KiB
Python
139 lines
4.9 KiB
Python
import sqlite3
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import typing
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import re
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import nacl.hash
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import time
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__CONNECTION = sqlite3.connect('example.db')
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__CONNECTION.row_factory = sqlite3.Row
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# __CONNECTION.execute("""
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# CREATE TABLE IF NOT EXISTS TEST(
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# NAME TEXT NOT NULL,
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# CONSTRAINT TEST_PK PRIMARY KEY(NAME)
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# ON CONFLICT IGNORE
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# )
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#""")
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def __generate_database_from_ddl(cursor: sqlite3.Connection, filepath: str):
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with open(filepath, 'r') as ddl_file:
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cursor.executescript(ddl_file.read())
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cursor.close()
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def get_claim_comments(claim_id: str, parent_id: str = None,
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page: int = 1, page_size: int = 50, top_level: bool = False):
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if top_level:
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curs = __CONNECTION.execute(
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""" SELECT *
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FROM COMMENTS_ON_CLAIMS
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WHERE claim_id LIKE ? AND parent_id IS NULL
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LIMIT ? OFFSET ? """,
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(claim_id, page_size, page_size*(page - 1))
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)
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elif parent_id is None:
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curs = __CONNECTION.execute(
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""" SELECT *
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FROM COMMENTS_ON_CLAIMS WHERE claim_id LIKE ?
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LIMIT ? OFFSET ? """,
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(claim_id, page_size, page_size*(page - 1))
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)
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else:
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curs = __CONNECTION.execute(
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""" SELECT *
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FROM COMMENTS_ON_CLAIMS
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WHERE claim_id LIKE ? AND parent_id = ?
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LIMIT ? OFFSET ? """,
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(claim_id, parent_id, page_size, page_size*(page - 1))
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)
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return [dict(row) for row in curs.fetchall()]
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def _insert_channel(channel_name, channel_id):
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with __CONNECTION:
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__CONNECTION.execute(
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'INSERT INTO CHANNEL(ClaimId, Name) VALUES (?, ?)',
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(channel_id, channel_name)
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)
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def _insert_comment(claim_id: str, message: str, channel_id: str = None,
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sig: str = None, parent_id: str = None):
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# ensure that we'claim_id and channel_id are the correct format
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timestamp = time.time_ns()
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comment_prehash = bytes(':'.join((claim_id, message, str(timestamp),)))
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comment_id = nacl.hash.sha256(comment_prehash).decode('utf-8')
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with __CONNECTION:
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__CONNECTION.execute(
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"""
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INSERT INTO COMMENT(CommentId, LbryClaimId, ChannelId, Body,
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ParentId, Signature, Timestamp)
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VALUES (?, ?, ?, ?, ?, ?, ?)
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""",
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(comment_id, claim_id, channel_id, message, parent_id, sig, timestamp)
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)
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return comment_id
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def _validate_input(**kwargs):
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assert 0 < len(kwargs.pop('message')) <= 2000
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claim_id = kwargs.pop('claim_id')
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channel_id = kwargs.get('channel_id', '')
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assert re.fullmatch('[a-z0-9]{40}:([a-z0-9]{40})?', claim_id + ':' + channel_id)
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if 'channel_name' in kwargs:
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assert 0 < len(kwargs.pop('channel_name')) < 256
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def create_comment(claim_id: str, message: str, channel_name: str = None,
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channel_id: str = None, reply_to: str = None, sig: str = None) -> dict:
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if channel_id:
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_insert_channel(channel_name, channel_id)
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_validate_input(
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claim_id=claim_id,
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message=message,
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channel_id=channel_id,
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channel_name=channel_name,
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)
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comcast_id = _insert_comment(claim_id, message, channel_id, sig, reply_to)
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curry = __CONNECTION.execute('SELECT * COMMENTS_ON_CLAIMS WHERE comment_id = ?', (comcast_id,))
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thing = curry.fetchone()
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return dict(thing) if thing else None
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def get_comment_ids(claim_id: str, parent_id: str = None, page=1, page_size=50):
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""" Just return a list of the comment IDs that are associated with the given claim_id.
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If get_all is specified then it returns all the IDs, otherwise only the IDs at that level.
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if parent_id is left null then it only returns the top level comments.
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For pagination the parameters are:
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get_all XOR (page_size + page)
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"""
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if parent_id is None:
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curs = __CONNECTION.execute("""
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SELECT comment_id FROM COMMENTS_ON_CLAIMS
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WHERE claim_id LIKE ? AND parent_id IS NULL LIMIT ? OFFSET ?
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""", (claim_id, page_size, page_size*abs(page - 1),)
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)
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else:
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curs = __CONNECTION.execute("""
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SELECT comment_id FROM COMMENTS_ON_CLAIMS
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WHERE claim_id LIKE ? AND parent_id LIKE ? LIMIT ? OFFSET ?
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""", (claim_id, parent_id, page_size, page_size * abs(page - 1),)
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)
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return [tuple(row) for row in curs.fetchall()]
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def get_comments_by_id(comment_ids: list) -> typing.Union[list, None]:
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""" Returns a list containing the comment data associated with each ID within the list"""
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placeholders = ', '.join('?' for _ in comment_ids)
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curs = __CONNECTION.execute(
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f'SELECT * FROM COMMENTS_ON_CLAIMS WHERE comment_id IN ({placeholders})',
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comment_ids
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)
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return [dict(row) for row in curs.fetchall()]
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if __name__ == '__main__':
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__generate_database_from_ddl(__CONNECTION, 'comments_ddl.sql')
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