personal memory agent
Merge pull request #123 from kognova/codex/update-flake8-config-and-fix-errors
Fix flake8 and mypy
authored by
Jer Miller
and committed by
GitHub
e3a1b5f0
810f5e28
+33
-42
+3
-2
dream/extract.py
+3
-2
dream/extract.py
···
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if prev_img is not None:
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boxes = compare_images(prev_img, img)
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if boxes:
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# fmt: off
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largest = max(
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boxes,
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key=lambda b: (b["box_2d"][3] - b["box_2d"][1])
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* (b["box_2d"][2] - b["box_2d"][0]),
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key=lambda b: (b["box_2d"][3] - b["box_2d"][1]) * (b["box_2d"][2] - b["box_2d"][0]),
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)
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# fmt: on
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width = largest["box_2d"][3] - largest["box_2d"][1]
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height = largest["box_2d"][2] - largest["box_2d"][0]
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if width > MIN_THRESHOLD and height > MIN_THRESHOLD:
-1
dream/views/entities.py
-1
dream/views/entities.py
+1
-2
hear/input_detect.py
+1
-2
hear/input_detect.py
···
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import threading
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import time
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import numpy as np
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import soundcard as sc
···
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try:
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audio = mic.record(samplerate=sample_rate, numframes=int(sample_rate * duration))
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results[mic.name] = audio
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except Exception as e:
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+
except Exception:
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results[mic.name] = None
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def play_tone():
+1
-2
hear/live.py
+1
-2
hear/live.py
···
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from dotenv import load_dotenv
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from faster_whisper import WhisperModel
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from google import genai
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from google.genai import types
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from silero_vad import load_silero_vad
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from hear.audio_utils import SAMPLE_RATE, detect_speech
···
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from think.models import GEMINI_FLASH
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MODEL = GEMINI_FLASH # -lite-preview-06-17
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-
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from google.genai import types
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USER_PROMPT = "Please transcribe any spoken words or utterances you hear in this audio clip, accuracy is important."
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+1
-2
hear/transcribe.py
+1
-2
hear/transcribe.py
···
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from pathlib import Path
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from typing import Dict, List, Optional, Tuple
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import librosa
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import numpy as np
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import soundfile as sf
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from dotenv import load_dotenv
···
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# Don't trash if there's unfinished speech in the stash
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if len(self.merged_stash) > 0:
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logging.info(
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f"No complete segments but {len(self.merged_stash)/SAMPLE_RATE:.1f}s in stash, keeping {raw_path}"
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f"No complete segments but {len(self.merged_stash) / SAMPLE_RATE:.1f}s in stash, keeping {raw_path}"
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)
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return None
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logging.info(f"No speech segments detected, moving {raw_path} to trash")
+5
-2
pyproject.toml
+5
-2
pyproject.toml
···
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profile = "black"
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line_length = 100
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+
[tool.flake8]
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ignore = ["E501"]
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+
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[tool.mypy]
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python_version = "3.9"
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python_version = "3.12"
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warn_return_any = true
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warn_unused_configs = true
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disallow_untyped_defs = true
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exclude = ["tests"]
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ignore_missing_imports = true
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ignore_errors = true
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[tool.pytest.ini_options]
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testpaths = ["tests"]
+1
-1
see/describe.py
+1
-1
see/describe.py
+1
-2
see/scan.py
+1
-2
see/scan.py
···
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import datetime
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import json
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import os
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-
import sys
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import time
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7
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from PIL import Image, ImageDraw
···
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"""Black out the region inside a detected blue border."""
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try:
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y_min, x_min, y_max, x_max = detect_border(img, BLUE_BORDER)
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-
except ValueError as e:
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except ValueError:
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# Silently ignore when no border is detected or border not thick enough
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return img
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except Exception as e:
+4
-4
see/screen_dbus.py
+4
-4
see/screen_dbus.py
···
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from dbus_next.aio import MessageBus
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from dbus_next.constants import BusType
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gi.require_version("Gdk", "4.0")
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gi.require_version("Gtk", "4.0")
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from gi.repository import Gdk, Gtk
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from PIL import Image
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gi.require_version("Gdk", "4.0") # noqa: E402
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gi.require_version("Gtk", "4.0") # noqa: E402
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from gi.repository import Gdk, Gtk # noqa: E402
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from PIL import Image # noqa: E402
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# Global timestamp for the last screenshot (in seconds)
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last_screenshot_timestamp = 0
-1
tests/test_border_detect.py
-1
tests/test_border_detect.py
-1
tests/test_cluster.py
-1
tests/test_cluster.py
+2
-2
tests/test_cluster_full.py
+2
-2
tests/test_cluster_full.py
···
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def test_cluster_full(tmp_path, monkeypatch):
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mod = importlib.import_module("think.cluster")
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day = copy_day(tmp_path)
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copy_day(tmp_path)
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monkeypatch.setenv("JOURNAL_PATH", str(tmp_path))
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md, count = mod.cluster("20240101")
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assert count == 2
···
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def test_cluster_cli(tmp_path, monkeypatch, capsys):
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mod = importlib.import_module("think.cluster")
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day = copy_day(tmp_path)
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copy_day(tmp_path)
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monkeypatch.setenv("JOURNAL_PATH", str(tmp_path))
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monkeypatch.setattr("sys.argv", ["cluster", "20240101"])
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mod.main()
-1
tests/test_indexer.py
-1
tests/test_indexer.py
-1
tests/test_review_home.py
-1
tests/test_review_home.py
-1
tests/test_review_utils.py
-1
tests/test_review_utils.py
+2
-1
think/__init__.py
+2
-1
think/__init__.py
+6
-4
think/border_detect.py
+6
-4
think/border_detect.py
···
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"""
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arr = np.asarray(im)
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r, g, b = color
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mask = (
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(np.abs(arr[..., 0] - r) <= tolerance)
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& (np.abs(arr[..., 1] - g) <= tolerance)
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& (np.abs(arr[..., 2] - b) <= tolerance)
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mask = np.logical_and.reduce(
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+
[
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np.abs(arr[..., 0] - r) <= tolerance,
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np.abs(arr[..., 1] - g) <= tolerance,
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np.abs(arr[..., 2] - b) <= tolerance,
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]
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)
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col_hits = mask.sum(0)
+1
-1
think/journal_stats.py
+1
-1
think/journal_stats.py
+2
-6
think/ponder.py
+2
-6
think/ponder.py
···
1
1
import argparse
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import json
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import os
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import sys
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import threading
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import time
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-
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# Add parent directory to path for module discovery
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from dotenv import load_dotenv
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8
from google import genai
···
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result = f.read()
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usage_metadata = None
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elif md_exists and args.force:
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print(f"Markdown file exists but --force specified. Regenerating.")
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+
print("Markdown file exists but --force specified. Regenerating.")
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result, usage_metadata = send_markdown(markdown, prompt, api_key, model)
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else:
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result, usage_metadata = send_markdown(markdown, prompt, api_key, model)
···
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print(f"JSON file already exists: {occ_output_path}. Use --force to overwrite.")
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return
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elif json_exists and args.force:
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print(f"JSON file exists but --force specified. Regenerating.")
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print("JSON file exists but --force specified. Regenerating.")
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try:
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occurrences = send_occurrence(result, occ_prompt, api_key, model)
+1
-4
think/see_repair.py
+1
-4
think/see_repair.py
···
1
1
import argparse
2
2
import json
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import os
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import sys
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4
import time
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5
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from PIL import Image
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8
+
from see import gemini_look
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from think.border_detect import detect_border
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-
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from see import gemini_look
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from think.crumbs import CrumbBuilder
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from think.models import GEMINI_FLASH, GEMINI_PRO
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from think.utils import day_path