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feat: migrate modelfiles to models
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"""Peewee migrations -- 009_add_models.py.
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Some examples (model - class or model name)::
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> Model = migrator.orm['table_name'] # Return model in current state by name
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> Model = migrator.ModelClass # Return model in current state by name
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> migrator.sql(sql) # Run custom SQL
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> migrator.run(func, *args, **kwargs) # Run python function with the given args
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> migrator.create_model(Model) # Create a model (could be used as decorator)
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> migrator.remove_model(model, cascade=True) # Remove a model
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> migrator.add_fields(model, **fields) # Add fields to a model
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> migrator.change_fields(model, **fields) # Change fields
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> migrator.remove_fields(model, *field_names, cascade=True)
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> migrator.rename_field(model, old_field_name, new_field_name)
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> migrator.rename_table(model, new_table_name)
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> migrator.add_index(model, *col_names, unique=False)
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> migrator.add_not_null(model, *field_names)
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> migrator.add_default(model, field_name, default)
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> migrator.add_constraint(model, name, sql)
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> migrator.drop_index(model, *col_names)
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> migrator.drop_not_null(model, *field_names)
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> migrator.drop_constraints(model, *constraints)
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"""
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from contextlib import suppress
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import peewee as pw
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from peewee_migrate import Migrator
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import json
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with suppress(ImportError):
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import playhouse.postgres_ext as pw_pext
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def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
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"""Write your migrations here."""
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# Fetch data from 'modelfile' table and insert into 'model' table
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migrate_modelfile_to_model(migrator, database)
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# Drop the 'modelfile' table
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migrator.remove_model("modelfile")
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def migrate_modelfile_to_model(migrator: Migrator, database: pw.Database):
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ModelFile = migrator.orm["modelfile"]
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Model = migrator.orm["model"]
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modelfiles = ModelFile.select()
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for modelfile in modelfiles:
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# Extract and transform data in Python
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modelfile.modelfile = json.loads(modelfile.modelfile)
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meta = json.dumps(
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{
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"description": modelfile.modelfile.get("desc"),
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"profile_image_url": modelfile.modelfile.get("imageUrl"),
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"ollama": {"modelfile": modelfile.modelfile.get("content")},
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"suggestion_prompts": modelfile.modelfile.get("suggestionPrompts"),
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"categories": modelfile.modelfile.get("categories"),
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"user": {**modelfile.modelfile.get("user", {}), "community": "true"},
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}
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)
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# Insert the processed data into the 'model' table
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Model.create(
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id=modelfile.tag_name,
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user_id=modelfile.user_id,
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name=modelfile.modelfile.get("title"),
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meta=meta,
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params="{}",
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created_at=modelfile.timestamp,
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updated_at=modelfile.timestamp,
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)
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def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
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"""Write your rollback migrations here."""
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recreate_modelfile_table(migrator, database)
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move_data_back_to_modelfile(migrator, database)
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migrator.remove_model("model")
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def recreate_modelfile_table(migrator: Migrator, database: pw.Database):
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query = """
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CREATE TABLE IF NOT EXISTS modelfile (
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user_id TEXT,
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tag_name TEXT,
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modelfile JSON,
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timestamp BIGINT
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)
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"""
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migrator.sql(query)
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def move_data_back_to_modelfile(migrator: Migrator, database: pw.Database):
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Model = migrator.orm["model"]
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Modelfile = migrator.orm["modelfile"]
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models = Model.select()
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for model in models:
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# Extract and transform data in Python
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meta = json.loads(model.meta)
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modelfile_data = {
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"title": model.name,
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"desc": meta.get("description"),
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"imageUrl": meta.get("profile_image_url"),
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"content": meta.get("ollama", {}).get("modelfile"),
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"suggestionPrompts": meta.get("suggestion_prompts"),
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"categories": meta.get("categories"),
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"user": {k: v for k, v in meta.get("user", {}).items() if k != "community"},
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}
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# Insert the processed data back into the 'modelfile' table
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Modelfile.create(
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user_id=model.user_id,
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tag_name=model.id,
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modelfile=modelfile_data,
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timestamp=model.created_at,
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)
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@ -4,7 +4,7 @@ from typing import Optional
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import peewee as pw
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from playhouse.shortcuts import model_to_dict
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from pydantic import BaseModel
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from pydantic import BaseModel, ConfigDict
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from apps.web.internal.db import DB, JSONField
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@ -22,29 +22,34 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
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# ModelParams is a model for the data stored in the params field of the Model table
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# It isn't currently used in the backend, but it's here as a reference
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class ModelParams(BaseModel):
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model_config = ConfigDict(extra="allow")
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pass
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# ModelMeta is a model for the data stored in the meta field of the Model table
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# It isn't currently used in the backend, but it's here as a reference
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class ModelMeta(BaseModel):
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description: str
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description: Optional[str] = None
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"""
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User-facing description of the model.
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"""
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vision_capable: bool
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vision_capable: Optional[bool] = None
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"""
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A flag indicating if the model is capable of vision and thus image inputs
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"""
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model_config = ConfigDict(extra="allow")
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pass
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class Model(pw.Model):
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id = pw.TextField(unique=True)
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"""
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The model's id as used in the API. If set to an existing model, it will override the model.
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"""
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user_id = pw.TextField()
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base_model_id = pw.TextField(null=True)
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@ -89,7 +94,6 @@ class ModelModel(BaseModel):
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class ModelsTable:
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def __init__(
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self,
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db: pw.SqliteDatabase | pw.PostgresqlDatabase,
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