mirror of
https://github.com/Pythagora-io/gpt-pilot.git
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5b474ccc1f
This is a complete rewrite of the GPT Pilot core, from the ground up, making the agentic architecture front and center, and also fixing some long-standing problems with the database architecture that weren't feasible to solve without breaking compatibility. As the database structure and config file syntax have changed, we have automatic imports for projects and current configs, see the README.md file for details. This also relicenses the project to FSL-1.1-MIT license.
72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
from datetime import datetime
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from typing import TYPE_CHECKING, Optional
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from uuid import UUID
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from sqlalchemy import ForeignKey, inspect
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from core.db.models import Base
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from core.proc.exec_log import ExecLog as ExecLogData
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if TYPE_CHECKING:
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from core.db.models import Branch, ProjectState
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class ExecLog(Base):
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__tablename__ = "exec_logs"
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# ID and parent FKs
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id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
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branch_id: Mapped[UUID] = mapped_column(ForeignKey("branches.id", ondelete="CASCADE"))
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project_state_id: Mapped[Optional[UUID]] = mapped_column(ForeignKey("project_states.id", ondelete="SET NULL"))
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# Attributes
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started_at: Mapped[datetime] = mapped_column()
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duration: Mapped[float] = mapped_column()
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cmd: Mapped[str] = mapped_column()
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cwd: Mapped[str] = mapped_column()
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env: Mapped[dict] = mapped_column()
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timeout: Mapped[Optional[float]] = mapped_column()
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status_code: Mapped[Optional[int]] = mapped_column()
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stdout: Mapped[str] = mapped_column()
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stderr: Mapped[str] = mapped_column()
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analysis: Mapped[str] = mapped_column()
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success: Mapped[bool] = mapped_column()
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# Relationships
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branch: Mapped["Branch"] = relationship(back_populates="exec_logs")
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project_state: Mapped["ProjectState"] = relationship(back_populates="exec_logs")
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@classmethod
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def from_exec_log(cls, project_state: "ProjectState", exec_log: ExecLogData) -> "ExecLog":
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"""
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Store the user input in the database.
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Note this just creates the UserInput object. It is committed to the
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database only when the DB session itself is comitted.
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:param project_state: Project state to associate the request log with.
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:param question: Question the user was asked.
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:param user_input: User input.
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:return: Newly created User input in the database.
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"""
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session = inspect(project_state).async_session
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obj = cls(
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project_state=project_state,
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branch=project_state.branch,
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started_at=exec_log.started_at,
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duration=exec_log.duration,
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cmd=exec_log.cmd,
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cwd=exec_log.cwd,
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env=exec_log.env,
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timeout=exec_log.timeout,
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status_code=exec_log.status_code,
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stdout=exec_log.stdout,
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stderr=exec_log.stderr,
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analysis=exec_log.analysis,
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success=exec_log.success,
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)
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session.add(obj)
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return obj
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