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annotate dictation/config.py @ 279:b3b547563ec7

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Add Google connector service and agent wiki Implement the C/Seobeo Google Drive and Gmail connector with encrypted OAuth storage, Zenbu authentication, browser testing, AI tool discovery, chunked HTTP decoding, and Bazel coverage. Consolidate repository guidance into progressive wiki documentation and enforce arena-first allocation for new first-party C code. Co-authored-by: Copilot <[email protected]> Copilot-Session: 84c338fd-0939-4bb3-b7f3-1062eb213e5d
author MrJuneJune <me@mrjunejune.com>
date Mon, 17 Aug 2026 22:22:36 -0700
parents 78699f810817
children 49e9e591c9bb
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1 from __future__ import annotations
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2
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3 from dataclasses import dataclass
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4 import os
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5 from pathlib import Path
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6
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7
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8 MODEL_REPOSITORY = "Systran/faster-whisper-small"
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9 MODEL_REVISION = "536b0662742c02347bc0e980a01041f333bce120"
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10
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11
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12 def _integer(name: str, default: int, minimum: int, maximum: int) -> int:
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13 raw = os.environ.get(name)
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14 if raw is None:
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15 return default
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16 try:
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17 value = int(raw)
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18 except ValueError as error:
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19 raise ValueError(f"{name} must be an integer") from error
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20 if value < minimum or value > maximum:
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21 raise ValueError(f"{name} must be between {minimum} and {maximum}")
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22 return value
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23
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24
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25 def _float(name: str, default: float, minimum: float, maximum: float) -> float:
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26 raw = os.environ.get(name)
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27 if raw is None:
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28 return default
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29 try:
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30 value = float(raw)
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31 except ValueError as error:
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32 raise ValueError(f"{name} must be a number") from error
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33 if value < minimum or value > maximum:
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34 raise ValueError(f"{name} must be between {minimum} and {maximum}")
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35 return value
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36
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37
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38 @dataclass(frozen=True)
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39 class DictationConfig:
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40 host: str
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41 port: int
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42 model_dir: Path
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43 compute_type: str
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44 max_sessions: int
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45 partial_interval_ms: int
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46 silence_ms: int
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47 max_utterance_seconds: int
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48 speech_threshold: float
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49
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50 @classmethod
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51 def from_environment(cls) -> "DictationConfig":
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52 cache_root = Path(
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53 os.environ.get(
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54 "XDG_CACHE_HOME",
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55 str(Path.home() / ".cache"),
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56 )
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57 )
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58 model_dir = Path(
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59 os.environ.get(
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60 "DICTATION_MODEL_DIR",
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61 str(cache_root / "zenbu" / "faster-whisper-small"),
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62 )
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63 ).expanduser()
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64 compute_type = os.environ.get(
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65 "DICTATION_COMPUTE_TYPE",
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66 "int8_float16",
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67 )
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68 if compute_type not in {
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69 "float16",
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70 "int8_float16",
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71 "int8",
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72 }:
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73 raise ValueError(
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74 "DICTATION_COMPUTE_TYPE must be float16, int8_float16, or int8"
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75 )
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76 host = os.environ.get("DICTATION_HOST", "127.0.0.1")
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77 if not host:
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78 raise ValueError("DICTATION_HOST must not be empty")
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79 return cls(
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80 host=host,
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81 port=_integer("DICTATION_PORT", 8090, 1, 65535),
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82 model_dir=model_dir,
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83 compute_type=compute_type,
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84 max_sessions=_integer("DICTATION_MAX_SESSIONS", 1, 1, 8),
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85 partial_interval_ms=_integer(
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86 "DICTATION_PARTIAL_INTERVAL_MS",
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87 1200,
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88 500,
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89 10000,
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90 ),
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91 silence_ms=_integer("DICTATION_SILENCE_MS", 700, 200, 5000),
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92 max_utterance_seconds=_integer(
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93 "DICTATION_MAX_UTTERANCE_SECONDS",
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94 30,
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95 3,
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96 120,
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97 ),
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98 speech_threshold=_float(
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99 "DICTATION_SPEECH_THRESHOLD",
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100 0.012,
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101 0.001,
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102 0.5,
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103 ),
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104 )