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6 changed files with 28 additions and 152 deletions
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2
pyproject.toml
View file

@ -9,12 +9,10 @@ dependencies = [
"geoarrow-pyarrow>=0.1.2", "geoarrow-pyarrow>=0.1.2",
"httpx>=0.28.1", "httpx>=0.28.1",
"numpy>=2.2.5", "numpy>=2.2.5",
"orjson>=3.10.18",
"polyline>=2.0.2", "polyline>=2.0.2",
"pyarrow>=20.0.0", "pyarrow>=20.0.0",
"python-dotenv>=1.1.0", "python-dotenv>=1.1.0",
"rclone-python>=0.1.21", "rclone-python>=0.1.21",
"uvloop>=0.21.0",
] ]
[project.scripts] [project.scripts]

9
src/ptscrapper/fetchers.py
View file

@ -3,7 +3,6 @@
from typing import Any, Dict, List from typing import Any, Dict, List
import httpx import httpx
import orjson
from .config import AUTH_PASSWORD, AUTH_USERNAME, BASE_URL, TIMEOUT from .config import AUTH_PASSWORD, AUTH_USERNAME, BASE_URL, TIMEOUT
@ -35,7 +34,7 @@ async def fetch_positions(client: httpx.AsyncClient) -> List[Any]:
params={"function": "getPositions", "shortcut": "true"}, params={"function": "getPositions", "shortcut": "true"},
) )
resp.raise_for_status() resp.raise_for_status()
return orjson.loads(resp.content) return resp.json()
async def fetch_course_posts( async def fetch_course_posts(
@ -57,7 +56,7 @@ async def fetch_course_posts(
params={"function": "getCoursePosts", "courses": courses_param}, params={"function": "getCoursePosts", "courses": courses_param},
) )
resp.raise_for_status() resp.raise_for_status()
return orjson.loads(resp.content) return resp.json()
async def fetch_posts(client: httpx.AsyncClient) -> List[Dict[str, Any]]: async def fetch_posts(client: httpx.AsyncClient) -> List[Dict[str, Any]]:
@ -73,7 +72,7 @@ async def fetch_posts(client: httpx.AsyncClient) -> List[Dict[str, Any]]:
params={"function": "getPosts"}, params={"function": "getPosts"},
) )
resp.raise_for_status() resp.raise_for_status()
return orjson.loads(resp.content) return resp.json()
async def fetch_posts_lines(client: httpx.AsyncClient) -> List[Dict[str, Any]]: async def fetch_posts_lines(client: httpx.AsyncClient) -> List[Dict[str, Any]]:
@ -89,4 +88,4 @@ async def fetch_posts_lines(client: httpx.AsyncClient) -> List[Dict[str, Any]]:
params={"function": "getPostsLines"}, params={"function": "getPostsLines"},
) )
resp.raise_for_status() resp.raise_for_status()
return orjson.loads(resp.content) return resp.json()

11
src/ptscrapper/main.py
View file

@ -1,19 +1,8 @@
# src/ptscrapper/main.py
import asyncio import asyncio
import logging import logging
import uvloop
from ptscrapper.scheduler import start_scheduler from ptscrapper.scheduler import start_scheduler
try:
import uvloop
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
except ImportError:
pass
def main(): def main():
# 1) Configure the root logger # 1) Configure the root logger

17
src/ptscrapper/scheduler.py
View file

@ -25,7 +25,6 @@ from .storage import (
cleanup_small_course_geometry, cleanup_small_course_geometry,
cleanup_small_course_posts, cleanup_small_course_posts,
cleanup_small_positions, cleanup_small_positions,
compact_and_geowkb_positions,
compact_course_geometry, compact_course_geometry,
compact_course_posts, compact_course_posts,
compact_positions, compact_positions,
@ -234,19 +233,11 @@ async def daily_compact_and_push():
# compact yesterday’s positions once/day # compact yesterday’s positions once/day
yesterday = date.today() - timedelta(days=1) yesterday = date.today() - timedelta(days=1)
try: try:
# 1) merge raw minute-shards → one “raw” parquet big_fp = compact_positions(yesterday)
raw_fp = compact_positions(yesterday) push_to_nas(big_fp)
if raw_fp: # if you want to reclaim local space:
push_to_nas(raw_fp)
# 2) build geometry once/day
geo_fp = compact_and_geowkb_positions(yesterday)
if geo_fp:
push_to_nas(geo_fp)
# 3) clean up raw shards
cleanup_small_positions(yesterday) cleanup_small_positions(yesterday)
logger.info("daily compaction complete for %s", yesterday) logger.info("wrote positions compacted file for %s", yesterday)
except Exception: except Exception:
logger.exception("job=daily_compact_and_push_job") logger.exception("job=daily_compact_and_push_job")

58
src/ptscrapper/storage.py
View file

@ -29,9 +29,26 @@ def write_positions(
server_ts: datetime, server_ts: datetime,
) -> str: ) -> str:
""" """
Write out the raw positions (including x,y, server_ts, fetched_ts). Convert x/y to a Point geometry, drop the originals,
Geometry will be added later during daily compaction. and write out a GeoParquet, carrying through
the server_ts and fetched_ts columns.
""" """
# 1) Extract x/y as numpy arrays (zero_copy_only=False to ensure a NumPy copy)
xs = table.column("x").to_numpy()
ys = table.column("y").to_numpy()
# 2) Build a PointType with the correct CRS
builder = ga.point().with_crs("EPSG:4326")
# 3) Create the geometry array directly from the Arrow buffers
geom = ga.as_wkb(
builder.from_geobuffers(None, xs, ys)
) # ensure the geometry is in WKB format
# 4) drop old coords & append 'geometry'
table = table.drop(["x", "y"]).append_column("geometry", geom)
# (server_ts and fetched_ts are already columns in `table`)
subdir = server_ts.strftime("positions/%Y/%m/%d/%H") subdir = server_ts.strftime("positions/%Y/%m/%d/%H")
local_dir = os.path.join(LOCAL_DATA_DIR, subdir) local_dir = os.path.join(LOCAL_DATA_DIR, subdir)
@ -40,6 +57,7 @@ def write_positions(
filename = f"{server_ts.strftime('%M%S')}_{HOST_ID}.parquet" filename = f"{server_ts.strftime('%M%S')}_{HOST_ID}.parquet"
local_path = os.path.join(local_dir, filename) local_path = os.path.join(local_dir, filename)
pq.write_table(table, local_path, compression="snappy") pq.write_table(table, local_path, compression="snappy")
return local_path return local_path
@ -144,42 +162,6 @@ def compact_positions(date_to_compact: date) -> str:
return out_path return out_path
def compact_and_geowkb_positions(date_to_compact: date) -> str:
"""
Read yesterday’s raw Parquets (with x,y,server_ts,fetched_ts),
build a single Big Table, convert x/y → WKB Point,
drop x,y, append geometry, and write out a GeoParquet.
"""
import geoarrow.pyarrow as ga
# find the directory of raw shards
day_dir = os.path.join(LOCAL_DATA_DIR, f"positions/{date_to_compact:%Y/%m/%d}")
if not os.path.isdir(day_dir):
return ""
# merge all raw shards
dataset = ds.dataset(day_dir, format="parquet", partitioning="hive")
raw = dataset.to_table()
# extract coords into numpy
xs = raw.column("x").to_numpy(zero_copy_only=False)
ys = raw.column("y").to_numpy(zero_copy_only=False)
# build WKB geometry
pt = ga.point().with_crs("EPSG:4326")
wkb = ga.as_wkb(pt.from_geobuffers(None, xs, ys))
# drop x,y and append geometry
enriched = raw.drop(["x", "y"]).append_column("geometry", wkb)
# write out one big geo-parquet
out_dir = os.path.join(LOCAL_DATA_DIR, "positions_geocompacted")
os.makedirs(out_dir, exist_ok=True)
out_path = os.path.join(out_dir, f"{date_to_compact.isoformat()}_{HOST_ID}.parquet")
pq.write_table(enriched, out_path, compression="snappy")
return out_path
def cleanup_small_positions(date_to_remove: date): def cleanup_small_positions(date_to_remove: date):
""" """
Optionally delete the raw minute files once compacted. Optionally delete the raw minute files once compacted.

83
uv.lock generated
View file

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