`dmypy recheck --update [file]` failed to detect very recent changes in [file]
Dieses Issue hat noch niemand übernommen.
- Vorherrschende Sprache
- Python
- Sterne
- 20.6k
- Forks
- 3.3k
- PR-Merge-Kennzahlen
- PR-Kennzahlen ausstehend
Beschreibung
Bug Report
Hi, I'm trying to implement an interactive type checking environment where a (deep learning-based) type inference agent needs to repeatedly make small changes to a given source file and query mypy to figure out if the changes introduce any type error. I'm using the dmypy recheck --update command to reduce the type checking time since I need these queries to be as fast as possible. However, it seems that this command would fail to detect very recent file changes and report outdated results. Is there a way to explicitly tell dmypy that it should recheck a given file?
To Reproduce
Run the following script
from pathlib import Path
import subprocess
import time
# no type error
code_1 = '''
from typing import Any
def fib(n: int) -> int:
if n == 0:
return 0
elif n == 1:
return 1
else:
return fib(n-1) + fib(n-2)
'''
# incorrect return type
code_2 = '''
from typing import Any
def fib(n: int) -> str:
if n == 0:
return 0
elif n == 1:
return 1
else:
return fib(n-1) + fib(n-2)
'''
# changed return type to Any, should not error
code_3 = '''
from typing import Any
def fib(n: int) -> Any:
if n == 0:
return 0
elif n == 1:
return 1
else:
return fib(n-1) + fib(n-2)
'''
# this should be the dmypy path in the current virtual env
dmypy_path = '/home/jiayi/Projects/SPOT/.venv/bin/dmypy'
check_dir = Path("temp/type_check")
check_dir.mkdir(exist_ok=True, parents=True)
with open(check_dir / "code.py", "w") as f:
f.write(code_1)
subprocess.run(['python', dmypy_path, 'restart', '--', '--follow-imports=skip'],cwd=check_dir)
print('---checking code_1---')
subprocess.run(['python', dmypy_path, 'check', '.'],cwd=check_dir)
with open(check_dir / "code.py", "w") as f:
f.write(code_2)
print('---checking code_2---')
subprocess.run(['python', dmypy_path, 'recheck', "--update", "code.py"],cwd=check_dir)
with open(check_dir / "code.py", "w") as f:
f.write(code_3)
print('---checking code_3---')
subprocess.run(['python', dmypy_path, 'recheck', "--update", "code.py"],cwd=check_dir)
print("test finished.")
print('---wait and check code_3 again---')
time.sleep(1.0) # will not work if waiting time is shorter
with open(check_dir / "code.py", "w") as f: # need this rewriting
f.write(code_3)
subprocess.run(['python', dmypy_path, 'recheck', "--update", "code.py"],cwd=check_dir)
print("test finished.")
This produced the following result on my machine
Daemon stopped
Daemon started
---checking code_1---
Success: no issues found in 1 source file
---checking code_2---
code.py:5: error: Incompatible return value type (got "int", expected "str")
code.py:7: error: Incompatible return value type (got "int", expected "str")
Found 2 errors in 1 file (checked 2 source files)
---checking code_3---
code.py:5: error: Incompatible return value type (got "int", expected "str")
code.py:7: error: Incompatible return value type (got "int", expected "str")
Found 2 errors in 1 file (checked 2 source files)
test finished.
---wait and check code_3 again---
Success: no issues found in 2 source files
test finished.
Expected Behavior
The result for code_3 should contain no type error.
Actual Behavior
The result for code_3 without first waiting is incorrect and looks outdated (is the same as code_2).
(Write what happened.)
Your Environment
- Mypy version used: 0.950
- Mypy command-line flags:
- Mypy configuration options from
mypy.ini(and other config files): empty - Python version used: Python 3.10.4
- Operating system and version: Ubuntu 18.04.6 LTS
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Beginne damit, die bereitgestellte Python-Reproduktion mit den Befehlen dmypy restart, check und wiederholten recheck --update code.py auszuführen. Verfolge, wie dmypy recheck --update [file] schnelle aufeinanderfolgende Schreibvorgänge behandelt; abgeschlossen ist die Aufgabe, wenn das unmittelbare code_3-Update keine Fehler meldet, ohne dass eine Verzögerung oder ein erneutes Schreiben erforderlich ist.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- python
- Bereich
- cli, tooling
- Issue-Typ
- Bug
- Schwierigkeit
- 3/5
- Geschätzter Aufwand
- 1-2 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Größtenteils klar
- Anfängerfreundlichkeit
- 35/100