corrlib/corrlib/main.py

import sqlite3
import datalad.api as dl
import datalad.config as dlc
import os
from .git_tools import move_submodule
import shutil
from .find import _project_lookup_by_id
from .tools import list2str, str2list, get_db_file
from .tracker import get, save, unlock, clone, drop
from typing import Union, Optional


def create_project(path: str, uuid: str, owner: Union[str, None]=None, tags: Union[list[str], None]=None, aliases: Union[list[str], None]=None, code: Union[str, None]=None) -> 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.
    """
    db_file = get_db_file(path)
    db = os.path.join(path, db_file)
    get(path, db_file)
    conn = sqlite3.connect(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.")

    unlock(path, db_file)
    alias_str = ""
    if aliases is not None:
        alias_str = list2str(aliases)
    tag_str = ""
    if tags is not None:
        tag_str = list2str(tags)
    c.execute("INSERT INTO projects (id, aliases, customTags, owner, code, created_at, updated_at) VALUES (?, ?, ?, ?, ?, datetime('now'), datetime('now'))", (uuid, alias_str, tag_str, owner, code))
    conn.commit()
    conn.close()
    save(path, message="Added entry for project " + uuid + " to database", files=[db_file])


def update_project_data(path: str, uuid: str, prop: str, value: Union[str, None] = None) -> None:
    db_file = get_db_file(path)
    get(path, db_file)
    conn = sqlite3.connect(os.path.join(path, db_file))
    c = conn.cursor()
    c.execute(f"UPDATE projects SET '{prop}' = '{value}' WHERE id == '{uuid}'")
    conn.commit()
    conn.close()
    return


def update_aliases(path: str, uuid: str, aliases: list[str]) -> None:
    db_file = get_db_file(path)
    db = os.path.join(path, db_file)
    get(path, db_file)
    known_data = _project_lookup_by_id(db, uuid)[0]
    known_aliases = known_data[1]

    if aliases is None:
        aliases = []
    if known_aliases is None:
        print(f"Project {uuid} has no known aliases.")
        known_alias_list = []
    else:
        print(f"Project {uuid} is known by names: {known_aliases}")
        known_alias_list = str2list(known_aliases)
    new_alias_list = known_alias_list.copy()
    for aka in aliases:
        if aka not in known_alias_list:
            new_alias_list.append(aka)

    if not len(new_alias_list) == len(known_alias_list):
        alias_str = list2str(new_alias_list)
        unlock(path, db_file)
        update_project_data(path, uuid, "aliases", alias_str)
        save(path, message="Updated aliases for project " + uuid, files=[db_file])
    return


def import_project(path: str, url: str, owner: Union[str, None]=None, tags: Optional[list[str]]=None, aliases: Optional[list[str]]=None, code: Optional[str]=None, isDataset: bool=True) -> str:
    """
    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.
    aliases: list[str]
        Custom name of the project, alias of the project.
    code: str
        Code that was used to create the measurements.

    Import a datalad dataset into the backlogger.

    Parameters
    ----------
    path: str
        The path to the backlogger directory.
    url: str
        The url of the project to import. This can be any url that datalad can handle.
        Also supported are non-datalad datasets, which will be converted to datalad datasets,
        in order to receive a uuid and have a consistent interface.

    """
    tmp_path = os.path.join(path, 'projects/tmp')
    clone(path, source=url, target=tmp_path)
    tmp_ds = dl.Dataset(tmp_path)
    conf = dlc.ConfigManager(tmp_ds)
    uuid = str(conf.get("datalad.dataset.id"))
    if not uuid:
        raise ValueError("The dataset does not have a uuid!")
    if not os.path.exists(path + "/projects/" + uuid):
        db_file = get_db_file(path)
        get(path, db_file)
        unlock(path, db_file)
        create_project(path, uuid, owner, tags, aliases, code)
        move_submodule(path, 'projects/tmp', 'projects/' + uuid)
        os.mkdir(path + '/import_scripts/' + uuid)
        save(path, message="Import project from " + url, files=['projects/' + uuid, db_file])
    else:
        dl.drop(tmp_path, reckless='kill')
        shutil.rmtree(tmp_path)
        if aliases is not None:
            if isinstance(aliases, str):
                alias_list = [aliases]
            else:
                alias_list = aliases
            update_aliases(path, uuid, alias_list)

    # make this more concrete
    return uuid


def drop_project_data(path: str, uuid: str, path_in_project: str = "") -> None:
    """
    Drop (parts of) a project to free up diskspace
    """
    drop(path + "/projects/" + uuid + "/" + path_in_project)
    return