Add models and migrations

lnbits/extensions/TwitchAlerts/migrations.py

@@ -2,10 +2,31 @@ async def m001_initial(db):
 
     await db.execute(
         """
-        CREATE TABLE IF NOT EXISTS TwitchAlerts (
+        CREATE TABLE IF NOT EXISTS Services (
-            id TEXT PRIMARY KEY,
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            twitchuser TEXT NOT NULL,
+            client_id TEXT NOT NULL,
+            client_secret TEXT NOT NULL,
             wallet TEXT NOT NULL,
-            time TIMESTAMP NOT NULL DEFAULT (strftime('%s', 'now'))
+            onchain TEXT,
+            servicename TEXT NOT NULL,
+            authenticated BOOLEAN NOT NULL,
+            token TEXT
         );
-    """
+        """
+    )
+
+    await db.execute(
+        """
+        CREATE TABLE IF NOT EXISTS Donations (
+            id TEXT PRIMARY KEY,
+            name TEXT NOT NULL,
+            cur_code TEXT NOT NULL,
+            sats INT NOT NULL,
+            amount FLOAT NOT NULL,
+            service INTEGER NOT NULL,
+            posted BOOLEAN NOT NULL,
+            FOREIGN KEY(service) REFERENCES Services(id)
+        );
+        """
     )

lnbits/extensions/TwitchAlerts/models.py

@@ -1,11 +1,32 @@
-# from sqlite3 import Row
+from sqlite3 import Row
-# from typing import NamedTuple
+from typing import NamedTuple, Optional
 
 
-# class Example(NamedTuple):
+class Donations(NamedTuple):
-#    id: str
+    id: str
-#    wallet: str
+    name: str
-#
+    cur_code: str
-#    @classmethod
+    sats: int
-#    def from_row(cls, row: Row) -> "Example":
+    amount: float
-#        return cls(**dict(row))
+    service: int
+    posted: bool
+
+    @classmethod
+    def from_row(cls, row: Row) -> "Donations":
+        return cls(**dict(row))
+
+
+class Services(NamedTuple):
+    id: int
+    twitchuser: str
+    client_id: str
+    client_secret: str
+    wallet: str
+    onchain: str
+    servicename: str
+    authenticated: bool
+    token: Optional[int]
+
+    @classmethod
+    def from_row(cls, row: Row) -> "Services":
+        return cls(**dict(row))