import sqlite3
import datalad.api as dl
import os
from .git_tools import move_submodule


def create_project(path, uuid, aliases=None, code=None):
    """
    Create a new project entry in the database.

    Parameters
    ----------
    path: str
        The path to the backlogger folder.
    uuid: str
        The uuid of the project.
    name: str (optional)
        Costum name for the project (e.g. 'cA determination on exponential clover').
    code: str (optional)
        The code that was used to create the measurements.
    """
    conn = sqlite3.connect(path + "/backlogger.db")
    c = conn.cursor()
    known_projects = c.execute("SELECT * FROM projects WHERE id=?", (uuid,))
    if known_projects.fetchone():
        raise ValueError("Project already imported, use update_project() instead.")

    dl.unlock(path + "/backlogger.db", dataset=path)
    c.execute("INSERT INTO projects (id, aliases, code, created_at, updated_at) VALUES (?, ?, ?, datetime('now'), datetime('now'))", (uuid, aliases, code))
    conn.commit()
    conn.close()
    dl.save(path + "/backlogger.db", message="Added entry for project " + uuid + " to database", dataset=path)


def import_project(url, path, aliases=None, code=None):
    """
    Parameters
    ----------

    url: str
        The url of the project to import. This can be any url that datalad can handle.
    path: str
        The path to the backlogger folder.
    name: str
        Custom name of the project, alias of the project.
    code: str
        Code that was used to create the measurements.
    """

    # install in tmp to find uuid
    tmp_path = path + '/projects/tmp'
    dl.install(path=tmp_path, source=url, dataset=path)
    with open(tmp_path + "/.datalad/config") as fp:
        for line in fp:
            if line.startswith("\tid"):
                uuid = line.split()[2]
                break

    create_project(path, uuid, aliases, code)
    move_submodule(path, 'projects/tmp', 'projects/' + uuid)
    os.mkdir(path + '/projects/tmp')

    os.mkdir(path + '/import_scripts/' + uuid)
    dl.save(path, message="Import project from " + url, dataset=path)
    return uuid