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replaced backed db with sqlite
Browse files- app_utils/conf.py +42 -7
- app_utils/funcs.py +0 -1
app_utils/conf.py
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@@ -1,10 +1,9 @@
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import
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from pathlib import Path
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from typing import Any
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from pydantic import BaseModel
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class PersistentSettings(BaseModel):
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"""
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This pydantic model will try to initialize itself from
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@@ -15,16 +14,52 @@ class PersistentSettings(BaseModel):
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"""
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def __init__(self, **data: Any):
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def update(self, **data: Any) -> None:
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"""
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Persist the pydantic-dict that represents the model
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"""
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class TortoiseConfig(PersistentSettings):
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EXTRA_VOICES_DIR: str = ""
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import sqlite3
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from pathlib import Path
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from typing import Any, Dict
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from pydantic import BaseModel
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class PersistentSettings(BaseModel):
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"""
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This pydantic model will try to initialize itself from
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"""
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def __init__(self, **data: Any):
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# Connect to the SQLite database
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self.conn = sqlite3.connect("config.db")
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# Create a table for settings if it doesn't exist
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self.conn.execute("""
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CREATE TABLE IF NOT EXISTS settings (
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key TEXT PRIMARY KEY,
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value TEXT
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)
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""")
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# Fetch settings from the database and initialize
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super().__init__(**self.fetch_settings(), **data)
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def fetch_settings(self) -> Dict[str, Any]:
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"""
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Retrieve settings from the database
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"""
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cursor = self.conn.cursor()
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cursor.execute("SELECT key, value FROM settings")
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settings = dict(cursor.fetchall())
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cursor.close()
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return settings
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def update(self, **data: Any) -> None:
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"""
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Persist the pydantic-dict that represents the model
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"""
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cursor = self.conn.cursor()
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# Update or insert each key-value pair into the database
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for key, value in {**self.dict(), **data}.items():
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cursor.execute(
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"INSERT OR REPLACE INTO settings (key, value) VALUES (?, ?)",
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(key, value)
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)
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# Commit the changes to the database
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self.conn.commit()
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cursor.close()
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def close(self) -> None:
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"""
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Close the database connection
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"""
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self.conn.close()
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class TortoiseConfig(PersistentSettings):
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EXTRA_VOICES_DIR: str = ""
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app_utils/funcs.py
CHANGED
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@@ -52,6 +52,5 @@ def list_voices(extra_voices_dir: Optional[str]):
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@st.cache_resource(max_entries=1)
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def load_voice_conditionings(voice, extra_voices_ls):
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gc.collect()
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voice_samples, conditioning_latents = load_voices(voice, extra_voices_ls)
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return voice_samples, conditioning_latents
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@st.cache_resource(max_entries=1)
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def load_voice_conditionings(voice, extra_voices_ls):
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voice_samples, conditioning_latents = load_voices(voice, extra_voices_ls)
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return voice_samples, conditioning_latents
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