content: #  Copyright (c) ZenML GmbH 2023. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       https://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  #  or implied. See the License for the specific language governing
  #  permissions and limitations under the License.
  """SQLModel implementation of pipeline build tables."""
  
  import json
  from typing import Any, Optional, Sequence
  from uuid import UUID
  
  from sqlalchemy import Column, String
  from sqlalchemy.dialects.mysql import MEDIUMTEXT
  from sqlalchemy.orm import joinedload
  from sqlalchemy.sql.base import ExecutableOption
  from sqlmodel import Field, Relationship
  
  from zenml.constants import MEDIUMTEXT_MAX_LENGTH
  from zenml.models import (
      PipelineBuildRequest,
      PipelineBuildResponse,
      PipelineBuildResponseBody,
      PipelineBuildResponseMetadata,
      PipelineBuildResponseResources,
  )
  from zenml.utils.json_utils import pydantic_encoder
  from zenml.zen_stores.schemas.base_schemas import BaseSchema
  from zenml.zen_stores.schemas.pipeline_schemas import PipelineSchema
  from zenml.zen_stores.schemas.project_schemas import ProjectSchema
  from zenml.zen_stores.schemas.schema_utils import build_foreign_key_field
  from zenml.zen_stores.schemas.stack_schemas import StackSchema
  from zenml.zen_stores.schemas.user_schemas import UserSchema
  from zenml.zen_stores.schemas.utils import jl_arg
  
  
  class PipelineBuildSchema(BaseSchema, table=True):
      """SQL Model for pipeline builds."""
  
      __tablename__ = "pipeline_build"
  
      user_id: Optional[UUID] = build_foreign_key_field(
          source=__tablename__,
          target=UserSchema.__tablename__,
          source_column="user_id",
          target_column="id",
          ondelete="SET NULL",
          nullable=True,
      )
      user: Optional["UserSchema"] = Relationship(back_populates="builds")
  
      project_id: UUID = build_foreign_key_field(
          source=__tablename__,
          target=ProjectSchema.__tablename__,
          source_column="project_id",
          target_column="id",
          ondelete="CASCADE",
          nullable=False,
      )
      project: "ProjectSchema" = Relationship(back_populates="builds")
  
      stack_id: Optional[UUID] = build_foreign_key_field(
          source=__tablename__,
          target=StackSchema.__tablename__,
          source_column="stack_id",
          target_column="id",
          ondelete="SET NULL",
          nullable=True,
      )
      stack: Optional["StackSchema"] = Relationship(back_populates="builds")
  
      pipeline_id: Optional[UUID] = build_foreign_key_field(
          source=__tablename__,
          target=PipelineSchema.__tablename__,
          source_column="pipeline_id",
          target_column="id",
          ondelete="SET NULL",
          nullable=True,
      )
      pipeline: Optional["PipelineSchema"] = Relationship(
          back_populates="builds"
      )
  
      images: str = Field(
          sa_column=Column(
              String(length=MEDIUMTEXT_MAX_LENGTH).with_variant(
                  MEDIUMTEXT, "mysql"
              ),
              nullable=False,
          )
      )
  
      is_local: bool
      contains_code: bool
  
      zenml_version: Optional[str]
      python_version: Optional[str]
      checksum: Optional[str]
      stack_checksum: Optional[str]
      # Build duration in seconds
      duration: Optional[int] = None
  
      @classmethod
      def get_query_options(
          cls,
          include_metadata: bool = False,
          include_resources: bool = False,
          **kwargs: Any,
      ) -> Sequence[ExecutableOption]:
          """Get the query options for the schema.
  
          Args:
              include_metadata: Whether metadata will be included when converting
                  the schema to a model.
              include_resources: Whether resources will be included when
                  converting the schema to a model.
              **kwargs: Keyword arguments to allow schema specific logic
  
          Returns:
              A list of query options.
          """
          options = []
  
          if include_metadata:
              options.extend(
                  [
                      joinedload(jl_arg(PipelineBuildSchema.pipeline)),
                      joinedload(jl_arg(PipelineBuildSchema.stack)),
                  ]
              )
  
          if include_resources:
              options.extend(
                  [
                      joinedload(jl_arg(PipelineBuildSchema.user)),
                  ]
              )
  
          return options
  
      @classmethod
      def from_request(
          cls, request: PipelineBuildRequest
      ) -> "PipelineBuildSchema":
          """Convert a `PipelineBuildRequest` to a `PipelineBuildSchema`.
  
          Args:
              request: The request to convert.
  
          Returns:
              The created `PipelineBuildSchema`.
          """
          return cls(
              stack_id=request.stack,
              project_id=request.project,
              user_id=request.user,
              pipeline_id=request.pipeline,
              images=json.dumps(request.images, default=pydantic_encoder),
              is_local=request.is_local,
              contains_code=request.contains_code,
              zenml_version=request.zenml_version,
              python_version=request.python_version,
              checksum=request.checksum,
              stack_checksum=request.stack_checksum,
              duration=request.duration,
          )
  
      def to_model(
          self,
          include_metadata: bool = False,
          include_resources: bool = False,
          **kwargs: Any,
      ) -> PipelineBuildResponse:
          """Convert a `PipelineBuildSchema` to a `PipelineBuildResponse`.
  
          Args:
              include_metadata: Whether the metadata will be filled.
              include_resources: Whether the resources will be filled.
              **kwargs: Keyword arguments to allow schema specific logic
  
  
          Returns:
              The created `PipelineBuildResponse`.
          """
          body = PipelineBuildResponseBody(
              user_id=self.user_id,
              project_id=self.project_id,
              created=self.created,
              updated=self.updated,
          )
          metadata = None
          if include_metadata:
              metadata = PipelineBuildResponseMetadata(
                  pipeline=self.pipeline.to_model() if self.pipeline else None,
                  stack=self.stack.to_model() if self.stack else None,
                  images=json.loads(self.images),
                  zenml_version=self.zenml_version,
                  python_version=self.python_version,
                  checksum=self.checksum,
                  stack_checksum=self.stack_checksum,
                  is_local=self.is_local,
                  contains_code=self.contains_code,
                  duration=self.duration,
              )
  
          resources = None
          if include_resources:
              resources = PipelineBuildResponseResources(
                  user=self.user.to_model() if self.user else None,
              )
  
          return PipelineBuildResponse(
              id=self.id,
              body=body,
              metadata=metadata,
              resources=resources,
          )
  