# pylint: disable=[R0902, R0903] """This contains all the necessary functions that access the phenotypes from the db""" from dataclasses import dataclass, asdict, astuple from typing import Any, Dict, Optional from MySQLdb import escape_string from typing_extensions import Protocol class Dataclass(Protocol): """Type Definition for a Dataclass""" __dataclass_fields__: Dict @dataclass(frozen=True) class Phenotype: """Data Type that represents a Phenotype""" id_: Optional[int] = None pre_pub_description: Optional[str] = None post_pub_description: Optional[str] = None original_description: Optional[str] = None units: Optional[str] = None pre_pub_abbrevition: Optional[str] = None post_pub_abbreviation: Optional[str] = None lab_code: Optional[str] = None submitter: Optional[str] = None owner: Optional[str] = None authorized_users: Optional[str] = None # Mapping from the Phenotype dataclass to the actual column names in the # database phenotype_mapping = { "id_": "id", "pre_pub_description": "Pre_publication_description", "post_pub_description": "Post_publication_description", "original_description": "Original_description", "units": "Units", "pre_pub_abbrevition": "Pre_publication_abbreviation", "post_pub_abbreviation": "Post_publication_abbreviation", "lab_code": "Lab_code", "submitter": "Submitter", "owner": "Owner", "authorized_users": "Authorized_Users", } @dataclass(frozen=True) class PublishXRef: """Data Type that represents the table PublishXRef""" id_: Optional[int] = None inbred_set_id: Optional[str] = None phenotype_id: Optional[int] = None publication_id: Optional[str] = None data_id: Optional[int] = None mean: Optional[float] = None locus: Optional[str] = None lrs: Optional[float] = None additive: Optional[float] = None sequence: Optional[int] = None comments: Optional[str] = None # Mapping from the PublishXRef dataclass to the actual column names in the # database publish_x_ref_mapping = { "id_": "Id", "inbred_set_id": "InbredSetId", "phenotype_id": "PhenotypeId", "publication_id": "PublicationId", "data_id": "DataId", "mean": "mean", "locus": "locus", "lrs": "lrs", "additive": "additive", "sequence": "sequence", "comments": "comments", } @dataclass(frozen=True) class Publication: """Data Type that represents the table Publication""" id_: Optional[int] = None pubmed_id: Optional[int] = None abstract: Optional[str] = None authors: Optional[str] = None title: Optional[str] = None journal: Optional[str] = None volume: Optional[str] = None pages: Optional[str] = None month: Optional[str] = None year: Optional[str] = None publication_mapping = { "id_": "id", "PubMed_ID": "pubmed_id", "Abstract": "abstract", "Authors": "authors", "Title": "title", "Journal": "journal", "Volume": "volume", "Pages": "pages", "Month": "month", "Year": "year", } TABLEMAP = { "Phenotype": phenotype_mapping, "PublishXRef": publish_x_ref_mapping, } def update(conn: Any, table: str, data: Dataclass, where: Dataclass) -> Optional[int]: """Run an UPDATE on a table""" if not any(astuple(data) + astuple(where)): return None sql = f"UPDATE {table} SET " sql += ", ".join(f"{TABLEMAP[table].get(k)} " f"= '{escape_string(str(v)).decode('utf-8')}'" for k, v in asdict(data).items() if v is not None and k in TABLEMAP[table]) sql += " WHERE " sql += "AND ".join(f"{TABLEMAP[table].get(k)} = " f"'{escape_string(str(v)).decode('utf-8')}'" for k, v in asdict(where).items() if v is not None and k in TABLEMAP[table]) with conn.cursor() as cursor: cursor.execute(sql) return cursor.rowcount