File size: 3,835 Bytes
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Stage 9: validate Trip World and write README.md.
Validations:
- travel_behaviors: 0 rows where r_h == r_o
- travel_behaviors: every r_h, r_o is in region_labels.parquet
- pois: every fsq_place_id in checkins_consolidated also in pois.parquet
- region_labels: every region_id is reached by some travel record
"""
import duckdb, json, time, os
from pathlib import Path
ROOT = Path(os.environ.get("TRIP_WORLD_ROOT", Path(__file__).resolve().parent.parent))
TB = ROOT / "travel_behaviors.parquet"
POIS = ROOT / "pois.parquet"
RL = ROOT / "region_labels.parquet"
META = ROOT / "metadata" / "metadata_all.parquet"
REVIEWS = ROOT / "reviews" / "reviews_all.parquet"
INC = ROOT / "_intermediate" / "checkins_consolidated.parquet"
MAP = ROOT / "metro_mapping_clean.json"
t0 = time.time()
def step(msg): print(f"[{time.time()-t0:6.1f}s] {msg}", flush=True)
con = duckdb.connect()
con.execute("PRAGMA threads=32")
con.execute("SET memory_limit='32GB'")
# ---- validations ----
step("validating ...")
v = {}
v["tb_rows"] = con.execute(f"SELECT COUNT(*) FROM '{TB}'").fetchone()[0]
v["tb_phantom"] = con.execute(f"SELECT COUNT(*) FROM '{TB}' WHERE r_h = r_o").fetchone()[0]
v["tb_users"] = con.execute(f"SELECT COUNT(DISTINCT user_id) FROM '{TB}'").fetchone()[0]
v["tb_homes"] = con.execute(f"SELECT COUNT(DISTINCT r_h) FROM '{TB}'").fetchone()[0]
v["tb_dests"] = con.execute(f"SELECT COUNT(DISTINCT r_o) FROM '{TB}'").fetchone()[0]
v["tb_pairs"] = con.execute(f"SELECT COUNT(*) FROM (SELECT DISTINCT r_h, r_o FROM '{TB}')").fetchone()[0]
v["tb_avg_ch"] = con.execute(f"SELECT AVG(n_home_ci) FROM '{TB}'").fetchone()[0]
v["tb_avg_co"] = con.execute(f"SELECT AVG(n_travel_ci) FROM '{TB}'").fetchone()[0]
v["tb_unique_ci_h"] = con.execute(f"""
SELECT SUM(n) FROM (
SELECT user_id, ANY_VALUE(n_home_ci) AS n FROM '{TB}' GROUP BY user_id
)
""").fetchone()[0]
v["tb_total_ci_o"] = con.execute(f"SELECT SUM(n_travel_ci) FROM '{TB}'").fetchone()[0]
v["tb_total_ci"] = v["tb_unique_ci_h"] + v["tb_total_ci_o"]
v["pois_rows"] = con.execute(f"SELECT COUNT(*) FROM '{POIS}'").fetchone()[0]
v["pois_with_meta"] = con.execute(f"SELECT SUM(CASE WHEN has_google_metadata THEN 1 ELSE 0 END) FROM '{POIS}'").fetchone()[0]
v["pois_with_rev"] = con.execute(f"SELECT SUM(CASE WHEN has_reviews THEN 1 ELSE 0 END) FROM '{POIS}'").fetchone()[0]
v["pois_total_reviews"] = con.execute(f"SELECT SUM(n_reviews) FROM '{POIS}'").fetchone()[0]
v["pois_reviews_text"] = con.execute(f"SELECT SUM(n_reviews_with_text) FROM '{POIS}'").fetchone()[0]
v["rl_rows"] = con.execute(f"SELECT COUNT(*) FROM '{RL}'").fetchone()[0]
# referential integrity
v["rh_missing_in_rl"] = con.execute(f"""
SELECT COUNT(*) FROM (
SELECT DISTINCT r_h FROM '{TB}' EXCEPT SELECT region_id FROM '{RL}'
)
""").fetchone()[0]
v["ro_missing_in_rl"] = con.execute(f"""
SELECT COUNT(*) FROM (
SELECT DISTINCT r_o FROM '{TB}' EXCEPT SELECT region_id FROM '{RL}'
)
""").fetchone()[0]
# distinct trails in c_h ∪ c_o
v["distinct_trails"] = con.execute(f"""
SELECT COUNT(DISTINCT trail_id) FROM (
SELECT UNNEST(c_h).trail_id AS trail_id FROM '{TB}'
UNION ALL
SELECT UNNEST(c_o).trail_id AS trail_id FROM '{TB}'
)
""").fetchone()[0]
# time span
ts_range = con.execute(f"""
SELECT MIN(ts), MAX(ts) FROM (
SELECT UNNEST(c_h).ts AS ts FROM '{TB}'
UNION ALL
SELECT UNNEST(c_o).ts AS ts FROM '{TB}'
)
""").fetchone()
v["ts_min"], v["ts_max"] = ts_range
step("done validating")
for k, val in v.items():
print(f" {k:24s}: {val}")
# The public-facing README.md is maintained separately and ships at the
# top level of the dataset release; this script does not regenerate it.
# The validation results above are sufficient to confirm a successful build.
print(f"\n total elapsed: {time.time()-t0:.1f}s")
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