pyotr.bsky.social
ML-based recommendation feed for Bluesky posts
First version of following graph crawler
+7
Makefile
+7
Makefile
+213
crawl_follows.py
+213
crawl_follows.py
···
1
+
import argparse
2
+
import asyncio
3
+
import decimal
4
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import logging
5
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import os
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import sys
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import time
8
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from typing import Tuple, List, Dict
9
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10
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from atproto import AsyncClient
11
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import pandas as pd
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logger = logging.getLogger(__name__)
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logger.setLevel(logging.INFO)
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# Create formatter
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formatter = logging.Formatter(
18
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"%(asctime)s | %(levelname)s | %(message)s", datefmt="%Y-%m-%d %H:%M:%S"
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)
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# Console handler
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console_handler = logging.StreamHandler(sys.stdout)
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console_handler.setFormatter(formatter)
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logger.addHandler(console_handler)
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+
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+
27
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BATCH_SIZE = 10
28
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CHECKPOINT_THRESHOLD = 100
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REQUIRED_ENV = ("BSKY_USER", "BSKY_APP_PW")
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+
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class RateLimit:
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def __init__(self, per_second: int):
34
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self.per_second = per_second
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self.cur_count = 0
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self.refresh_event = asyncio.Event()
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self.refresh_running = False
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async def sleep_then_refresh(self):
40
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await asyncio.sleep(1)
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self.cur_count = 0
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self.refresh_event.set()
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self.refresh_running = False
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+
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async def acquire(self):
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# If we have remaining capacity in this second, dont block
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if self.cur_count < self.per_second:
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# Start timer for when our rate allocation refreshes
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if not self.refresh_running:
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self.refresh_running = True
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asyncio.create_task(self.sleep_then_refresh())
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self.cur_count += 1
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return
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# Otherwise we need to wait until current second is over
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# and our rate allocation refreshes
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self.refresh_event.clear()
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await self.refresh_event.wait()
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# Just recursively call after waiting
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return await self.acquire()
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+
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async def get_all_follows(
65
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client: AsyncClient, rate_limit: RateLimit, did: str
66
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) -> Tuple[str, List[str]]:
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follows = []
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await rate_limit.acquire()
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data = await client.get_follows(actor=did, limit=100)
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cursor = data.cursor
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for follow in data.follows:
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follows.append(follow.did)
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74
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while cursor:
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await rate_limit.acquire()
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data = await client.get_follows(actor=did, cursor=cursor, limit=100)
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cursor = data.cursor
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for follow in data.follows:
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follows.append(follow.did)
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return (did, follows)
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def save_checkpoint(output_dir: str, job_start: int, f_map: Dict[str, List[str]]):
85
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# Create dataframe for follow map
86
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follow_dict = {"follower": [], "follows": []}
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for follower, follows in f_map.items():
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follow_dict["follower"].append(follower)
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follow_dict["follows"].append(follows)
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follow_df = pd.DataFrame(data=follow_dict)
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# Convert to scientific notation for more pleasent unix sort
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size_string = f"{decimal.Decimal(len(f_map)):.2e}".replace("+", "").replace(
94
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".", "_"
95
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)
96
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save_path = os.path.join(
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output_dir, f"{job_start}_checkpoint_{size_string}.parquet"
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)
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# Save follow map as parquet file
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logger.info(f"Saving follow map to: {save_path}")
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try:
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follow_df.to_parquet(save_path)
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except Exception as e:
105
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logger.error(f"Failed to save follow map: {e}")
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sys.exit(1)
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async def explore(username: str, pw: str, start_did: str, num_hops: int, save_dir: str):
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client = AsyncClient()
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await client.login(username, pw)
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logger.info(f"Starting did: {start_did}")
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follow_map = dict()
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distance_map = {start_did: 0}
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to_explore = [start_did]
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logger.info(
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f"Starting crawl with:\nStart DID: {start_did}\nNum hops: {num_hops}\nSaving Output to: {save_dir}"
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)
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job_start = int(time.time())
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# Try to only send 10 requests a second
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batch_count = 1
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fail_count = 0
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rate_limiter = RateLimit(10)
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while len(to_explore):
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batch = to_explore[:BATCH_SIZE]
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to_explore = to_explore[BATCH_SIZE:]
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logger.info(
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f"Starting batch with size: {len(batch)} remaining to_explore: {len(to_explore)}"
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)
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for result in asyncio.as_completed(
135
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[get_all_follows(client, rate_limiter, did) for did in batch]
136
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):
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try:
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follower, follows = await result
139
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follow_map[follower] = follows
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logger.info(f"{follower} follows {len(follows)} (public) accounts")
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except Exception as e:
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logger.error(f"Failed to get followers: {e}", exc_info=1)
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fail_count += 1
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if fail_count >= 3:
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sys.exit(1)
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continue
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# Save a checkpoint every 10,000 accounts
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if batch_count % CHECKPOINT_THRESHOLD == 0:
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save_checkpoint(save_dir, job_start, follow_map)
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# If too far from start, dont add follows to exploration queue
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if distance_map[follower] != num_hops:
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for follow_did in follows:
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if follow_did not in follow_map:
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to_explore.append(follow_did)
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distance_map[follow_did] = distance_map[follower] + 1
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logger.info(
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f"Finished batch {batch_count} | to_explore size: {len(to_explore)}"
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)
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batch_count += 1
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save_checkpoint(save_dir, job_start, follow_map)
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logger.info("Crawl complete")
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def main():
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for key in REQUIRED_ENV:
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if key not in os.environ:
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raise ValueError(f"Must set '{key}' env var")
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user_name = os.environ["BSKY_USER"]
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app_pw = os.environ["BSKY_APP_PW"]
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parser = argparse.ArgumentParser(
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prog="CrawlFollows",
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description="Crawl social graph using follows starting from provided DID",
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)
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parser.add_argument(
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"--start-did",
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dest="start_did",
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required=True,
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help="DID for account to start crawl at",
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)
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parser.add_argument(
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"--num-hops",
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dest="num_hops",
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type=int,
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default=2,
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help="How many network hops to explore out from the start",
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)
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parser.add_argument(
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"--save-dir",
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dest="save_dir",
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default="data/crawl/",
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help="Where to store crawl data",
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)
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args = parser.parse_args()
200
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asyncio.run(
202
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explore(
203
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user_name,
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app_pw,
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start_did=args.start_did,
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num_hops=args.num_hops,
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save_dir=args.save_dir,
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)
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)
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if __name__ == "__main__":
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main()
+1
data/crawl/.gitignore
+1
data/crawl/.gitignore
···
1
+
*.parquet
-46
main.py
-46
main.py
···
1
-
import asyncio
2
-
import logging
3
-
import os
4
-
import sys
5
-
6
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from atproto import AsyncClient
7
-
8
-
9
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logger = logging.getLogger(__name__)
10
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logger.setLevel(logging.INFO)
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-
12
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# Create formatter
13
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formatter = logging.Formatter(
14
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'%(asctime)s | %(levelname)s | %(message)s',
15
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datefmt='%Y-%m-%d %H:%M:%S'
16
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)
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# Console handler
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console_handler = logging.StreamHandler(sys.stdout)
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console_handler.setFormatter(formatter)
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logger.addHandler(console_handler)
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-
23
-
24
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async def explore(username: str, pw: str):
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client = AsyncClient()
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await client.login(username, pw)
27
-
28
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data = await client.get_profile('did:plc:uxmy3zztxyhfk6mxrkun5tpr')
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logger.info(data)
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-
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def main():
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if 'BSKY_USER' not in os.environ:
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raise ValueError("Must set 'BSKY_USER' env var")
35
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if 'BSKY_APP_PW' not in os.environ:
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raise ValueError("Must set 'BSKY_APP_PW' env var")
37
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user_name = os.environ['BSKY_USER']
38
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app_pw = os.environ['BSKY_APP_PW']
39
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asyncio.run(explore(user_name, app_pw))
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-
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if __name__ == "__main__":
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-
main()
+2
pyproject.toml
+2
pyproject.toml
+365
-4
uv.lock
+365
-4
uv.lock
···
2
2
revision = 2
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7
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6
8
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7
9
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dependencies = [
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···
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