optimize runtime

- Postpone setting an ID for a Movie until it's added to the database.
- Use larger chunks to count the lines of an input file.
- Skip creating temporary objects for the score-map.

unwind/db.py

@@ -60,6 +60,13 @@ async def init_db(db):
 
 
 async def add(item):
+    # Support late initializing of `id` (used for optimization).
+    if hasattr(item, "id") and getattr(item, "id") is None:
+        for f in fields(item):
+            if f.name == "id":
+                item.id = f.default_factory()
+                break
+
     values = asplain(item)
     keys = ", ".join(f"{k}" for k in values)
     placeholders = ", ".join(f":{k}" for k in values)

unwind/imdb_import.py

@@ -4,12 +4,12 @@ import logging
 from dataclasses import dataclass, fields
 from datetime import datetime, timezone
 from pathlib import Path
-from typing import Optional, get_origin
+from typing import Optional, cast
 
 from . import db
 from .db import add_or_update_movie
 from .imdb import score_from_imdb_rating
-from .models import Movie, optional_type
+from .models import Movie
 
 log = logging.getLogger(__name__)
 
@@ -33,31 +33,18 @@ class BasicRow:
 
     @classmethod
     def from_row(cls, row):
-        vals = []
+        assert row[4] in "01"  # isAdult
-        for f, r in zip(fields(cls), row):
+        inst = cls(
-            ttype = f.type
+            tconst=row[0],
-            is_opt = False
+            titleType=row[1],
-
+            primaryTitle=row[2],
-            if (otype := optional_type(ttype)) is not None:
+            originalTitle=row[3],
-                ttype = otype
+            isAdult=row[4] == "1",
-                is_opt = True
+            startYear=None if row[5] == r"\N" else int(row[5]),
-            if (otype := get_origin(ttype)) is not None:
+            endYear=None if row[6] == r"\N" else int(row[6]),
-                ttype = otype
+            runtimeMinutes=None if row[7] == r"\N" else int(row[7]),
-
+            genres=None if row[8] == r"\N" else set(row[8].split(",")),
-            if r == r"\N":
+        )
-                if is_opt:
-                    vals.append(None)
-                else:
-                    raise ValueError(f"Unexpected null value for field: {f.name}")
-            elif f.name == "genres":
-                vals.append(set(r.split(",")))
-            elif f.name == "isAdult":
-                assert r in "01"
-                vals.append(r == "1")
-            else:
-                vals.append(ttype(r))
-
-        inst = cls(*vals)
         assert inst.titleType in title_types
         return inst
 
@@ -72,6 +59,8 @@ class BasicRow:
             score=None,
             runtime=self.runtimeMinutes,
             genres=self.genres or set(),
+            updated=None,  # optimization: skip default factory
+            id=None,  # optimization: skip default factory
         )
 
 
@@ -122,13 +111,19 @@ def gz_mtime(path) -> datetime:
 
 def count_lines(path) -> int:
     i = 0
+
+    one_mb = 2 ** 20
+    buf_size = 8 * one_mb  # 8 MiB seems to give a good read/process performance.
+
     with gzip.open(path, "rt") as f:
-        for i, _ in enumerate(f, start=1):
+
-            pass
+        while buf := f.read(buf_size):
+            i += buf.count("\n")
+
     return i
 
 
-def read_imdb_tsv(path, row_type):
+def read_imdb_tsv(path, row_type, *, unpack=True):
     with gzip.open(path, "rt", newline="") as f:
         rows = csv.reader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
 
@@ -141,6 +136,10 @@ def read_imdb_tsv(path, row_type):
             log.error("Unexpected header line: %s", header)
             raise
 
+        if unpack is False:
+            yield from rows
+            return
+
         for i, row in enumerate(rows, start=1):
             try:
                 yield row_type.from_row(row)
@@ -159,6 +158,13 @@ def read_ratings(path):
         yield m
 
 
+def read_ratings_as_scoremap(path):
+    """Optimized function to quickly load all ratings."""
+    rows = read_imdb_tsv(path, RatingRow, unpack=False)
+    rows = cast(list[list[str]], rows)
+    return {r[0]: round(100 * (float(r[1]) - 1) / 9) for r in rows}
+
+
 def read_basics(path):
     mtime = gz_mtime(path)
     rows = read_imdb_tsv(path, BasicRow)
@@ -175,7 +181,7 @@ def read_basics(path):
 
 async def import_from_file(basics_path: Path, ratings_path: Path):
     log.info("Loading scores ... 💾")
-    scores = {m.imdb_id: m.score for m in read_ratings(ratings_path)}
+    scores = read_ratings_as_scoremap(ratings_path)
 
     log.info("Importing movies ... 💾")
     total = count_lines(basics_path)