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@ -26,18 +26,42 @@ Matrix.
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## Usage
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## Usage
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From the repository root:
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There are two main import patterns:
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- One-off archival import: For when you have a large set of messages to import
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for a service that you don't use very much anymore.
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- Recurring import: For when you are still using the service, and want to
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import on a recurring basis.
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This program will be default not overwrite existing files, as the user might
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have modified it.
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Special consideration must be taking for recurring imports if you expect to be
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modifying the resulting files, for example if you are inserting links
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using Obsidian's unlinked mentions feature. You might want to use the
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`--skip-this-period` flag to avoid importing the current period until it has
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become the last period. That way you won't accidentally modify the log, because
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it has been finalized.
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### One-off
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This is the recommended command for the one-off case:
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```bash
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```bash
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python -m libpurple_to_markdown LOG_DIRECTORY --output OUTPUT_FOLDER
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python -m libpurple_to_markdown LOG_DIRECTORY --output OUTPUT_FOLDER
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```
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```
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It was made specifically for import into Obsidian, so it might not suite your
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### Recurring
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purposes, but it shouldn't be too difficult to adjust the formatting code.
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This is the recommended command for the recurring import case:
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```bash
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python -m libpurple_to_markdown LOG_DIRECTORY --output OUTPUT_FOLDER --skip-this-period --period month
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```
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## TODO
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## TODO
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- [ ] Decode MMS parts and reconstruct image attachments.
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- [ ] SyncTech: Decode MMS parts and reconstruct image attachments.
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"""
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"""
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import dataclasses
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import dataclasses
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@ -1,7 +1,8 @@
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import argparse
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import argparse
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import dataclasses
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import dataclasses
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import datetime
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import logging
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import logging
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from collections.abc import Iterable, Iterator
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from collections.abc import Callable, Iterable, Iterator, Mapping
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from pathlib import Path
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from pathlib import Path
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from . import (
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from . import (
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@ -16,16 +17,19 @@ from .markdown import format_messages
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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def group_messages(messages: Iterable[Message], key) -> dict[str, list[Message]]:
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def group_messages(
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messages: Iterable[Message],
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key_fn: Callable[[Message], str],
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) -> dict[str, list[Message]]:
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by_key: dict[str, list[Message]] = {}
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by_key: dict[str, list[Message]] = {}
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for msg in messages:
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for msg in messages:
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by_key.setdefault(key(msg), []).append(msg)
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by_key.setdefault(key_fn(msg), []).append(msg)
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del msg
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del msg
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return by_key
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return by_key
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def group_messages_by_chat_id(messages: Iterable[Message]) -> dict[str, list[Message]]:
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def group_messages_by_chat_id(messages: Iterable[Message]) -> dict[str, list[Message]]:
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return group_messages(messages, key=lambda msg: msg.chat_id)
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return group_messages(messages, key_fn=lambda msg: msg.chat_id)
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def year_and_month_period_key(msg: Message):
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def year_and_month_period_key(msg: Message):
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@ -43,24 +47,38 @@ def year_quarter_period_key(msg: Message):
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MAX_AVERAGE_MESSAGES_PER_PERIOD = 120
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MAX_AVERAGE_MESSAGES_PER_PERIOD = 120
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TOO_FEW_MESSAGES_TO_CARE = 2
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def group_messages_by_period(messages: Iterable[Message]) -> dict[str, list[Message]]:
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PERIOD_KEYS_BY_NAME: Mapping[str, Callable[[Message], str]] = {
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possible_period_keys = [
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'full': (lambda msg: 'full'),
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(lambda msg: 'full'),
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'year': year_period_key,
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year_period_key,
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'quarter': year_quarter_period_key,
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year_quarter_period_key,
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'month': year_and_month_period_key,
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year_and_month_period_key,
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}
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]
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for period_key in possible_period_keys:
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grouped = group_messages(messages, key=period_key)
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def group_messages_by_period(
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messages: Iterable[Message],
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period_key: str | None = None,
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) -> tuple[dict[str, list[Message]], Callable[[Message], str]]:
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# Determine key function
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possible_period_keys: Iterable[Callable[[Message], str]] = (
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PERIOD_KEYS_BY_NAME.values()
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)
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if period_key is not None:
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possible_period_keys = [PERIOD_KEYS_BY_NAME[period_key]]
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del period_key
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# Group by key
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for period_key_fn in possible_period_keys:
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grouped = group_messages(messages, key_fn=period_key_fn)
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average_num_messages = sum(len(grouped[k]) for k in grouped) / len(grouped)
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average_num_messages = sum(len(grouped[k]) for k in grouped) / len(grouped)
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if average_num_messages <= MAX_AVERAGE_MESSAGES_PER_PERIOD:
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if average_num_messages <= MAX_AVERAGE_MESSAGES_PER_PERIOD:
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break
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break
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del period_key, average_num_messages
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del average_num_messages
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return grouped
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return grouped, period_key_fn
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def replace_myself(messages: Iterable[Message], myself: str) -> Iterator[Message]:
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def replace_myself(messages: Iterable[Message], myself: str) -> Iterator[Message]:
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@ -77,6 +95,17 @@ def parse_args():
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parser.add_argument('--synctech', type=Path, dest='synctech_sms_backup_file')
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parser.add_argument('--synctech', type=Path, dest='synctech_sms_backup_file')
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parser.add_argument('--output', type=Path)
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parser.add_argument('--output', type=Path)
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parser.add_argument('--myself', type=str, default='Myself')
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parser.add_argument('--myself', type=str, default='Myself')
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parser.add_argument('--overwrite', action='store_true', dest='overwrite_files')
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parser.add_argument(
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'--period',
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dest='period_key',
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choices=list(PERIOD_KEYS_BY_NAME.keys()),
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)
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parser.add_argument(
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'--skip-this-period',
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action='store_true',
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dest='skip_this_period',
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)
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return parser.parse_args()
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return parser.parse_args()
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@ -108,11 +137,14 @@ def main():
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for chat_id, messages_in_chat_original in messages_by_chat_id.items():
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for chat_id, messages_in_chat_original in messages_by_chat_id.items():
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messages_in_chat = merge_adjacent_messages(messages_in_chat_original)
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messages_in_chat = merge_adjacent_messages(messages_in_chat_original)
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if len(messages_in_chat) <= 2:
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if len(messages_in_chat) <= TOO_FEW_MESSAGES_TO_CARE:
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logger.info(' "%s": Skipped due to too few messages', chat_id)
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logger.info(' "%s": Skipped due to too few messages', chat_id)
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continue
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continue
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messages_by_period = group_messages_by_period(messages_in_chat)
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messages_by_period, period_key_fn = group_messages_by_period(
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messages_in_chat,
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args.period_key,
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)
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logger.info(
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logger.info(
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' "%s": %d messages, %d periods (%d msg/period avg)',
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' "%s": %d messages, %d periods (%d msg/period avg)',
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chat_id,
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chat_id,
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len(messages_in_chat_original) / len(messages_by_period),
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len(messages_in_chat_original) / len(messages_by_period),
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)
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)
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for period_key, messages in messages_by_period.items():
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this_period_name = period_key_fn(Message(datetime.datetime.now(), '', '', ''))
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for period_key_name, messages in messages_by_period.items():
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file_escaped_chat_id = chat_id.replace(' ', '-')
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file_escaped_chat_id = chat_id.replace(' ', '-')
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output_file = (
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output_file = (
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args.output / chat_id / f'{file_escaped_chat_id}-{period_key}.md'
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args.output / chat_id / f'{file_escaped_chat_id}-{period_key_name}.md'
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)
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)
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output_file.parent.mkdir(exist_ok=True)
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logger.info('Writing % 5d messages to %s', len(messages), output_file)
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logger.info('Writing % 5d messages to %s', len(messages), output_file)
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if this_period_name == period_key_name:
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logger.info('Skipping due to --skip-this-period: %s', output_file)
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continue
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if output_file.exists() and not args.overwrite_files:
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logger.info('Skipping existing file: %s', output_file)
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continue
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# Create folders and file
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output_file.parent.mkdir(exist_ok=True, parents=True)
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with open(output_file, 'w') as f:
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with open(output_file, 'w') as f:
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f.write(
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f.write(
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format_messages(
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format_messages(
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messages,
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messages,
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title=f'{chat_id} - {period_key}',
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title=f'{chat_id} - {period_key_name}',
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),
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),
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)
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)
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del period_key, messages, output_file
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del period_key_name, messages, output_file
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del chat_id, messages_in_chat_original, messages_in_chat
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del chat_id, messages_in_chat_original, messages_in_chat
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