564 lines
23 KiB
Python
564 lines
23 KiB
Python
"""FormData + SheetImportRun — spreadsheet mirror and background import runs."""
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from __future__ import annotations
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import uuid
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from datetime import datetime, timezone
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from sqlalchemy import Column, DateTime, Index, case, delete, func, insert, or_
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlmodel import Field, SQLModel, select
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def _now() -> datetime:
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return datetime.now(timezone.utc)
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_BULK_CHUNK = 1000
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class FormData(SQLModel, table=True):
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"""One spreadsheet data row. raw_record keeps the full original header→value map."""
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__tablename__ = "form_data"
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__table_args__ = (
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Index("ix_form_data_sheet_row_number", "sheet", "row_number", unique=True),
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)
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id: uuid.UUID = Field(default_factory=uuid.uuid4, primary_key=True)
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sheet: str = Field(nullable=False, index=True)
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# Recruiter-assigned job. DB FK only — no ORM Relationship (avoids
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# pulling job_posts into the sheet worker metadata graph).
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job_post_id: uuid.UUID | None = Field(default=None, index=True)
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assigned_job_post_id: uuid.UUID | None = Field(default=None, index=True)
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# ILIKE title matches from Position Applied For. One form row → many jobs.
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# Suggested, not assigned. ATS scores each id separately.
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suggested_job_post_ids: list[str] | None = Field(
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default=None, sa_column=Column(JSONB),
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)
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# Set when this form row is promoted into the hiring pipeline (Users +
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# manual_upload_candidate). Idempotency key for assign / shortlist.
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manual_upload_candidate_id: uuid.UUID | None = Field(default=None, index=True)
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row_number: int | None = Field(default=None)
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serial_no: str | None = Field(default=None)
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entry_year: str | None = Field(default=None)
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entry_month: str | None = Field(default=None)
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entry_date: datetime | None = Field(default=None, sa_type=DateTime(timezone=True))
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entry_time: str | None = Field(default=None)
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screened_by: str | None = Field(default=None, index=True)
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name: str | None = Field(default=None, index=True)
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gender: str | None = Field(default=None)
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date_of_birth: datetime | None = Field(default=None, sa_type=DateTime(timezone=True))
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cnic: str | None = Field(default=None, index=True)
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cgpa: str | None = Field(default=None)
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hr_comments: str | None = Field(default=None)
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candidate_number: str | None = Field(default=None)
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candidate_email: str | None = Field(default=None, index=True)
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profile_link: str | None = Field(default=None)
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resume_link: str | None = Field(default=None)
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# Drive CV extract JSON written by @extract_drive_cvs after sheet ingest.
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extracted_data: dict | None = Field(default=None, sa_column=Column(JSONB))
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area_of_expertise: str | None = Field(default=None)
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requisition_number: str | None = Field(default=None, index=True)
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position_applied_for: str | None = Field(default=None)
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source_of_application: str | None = Field(default=None)
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age: int | None = Field(default=None)
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age_raw: str | None = Field(default=None)
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marital_status: str | None = Field(default=None)
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degree: str | None = Field(default=None)
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university: str | None = Field(default=None)
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university_other: str | None = Field(default=None)
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experience: str | None = Field(default=None)
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experience_details: str | None = Field(default=None)
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area_of_residence: str | None = Field(default=None)
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residing_city: str | None = Field(default=None)
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residing_country: str | None = Field(default=None)
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communication_skills: int | None = Field(default=None)
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preferred_timings: str | None = Field(default=None)
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ho_availability: str | None = Field(default=None)
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current_company: str | None = Field(default=None)
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reason_for_leaving: str | None = Field(default=None)
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notice_period: str | None = Field(default=None)
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current_salary: str | None = Field(default=None)
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current_salary_value: int | None = Field(default=None)
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expected_salary: str | None = Field(default=None)
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expected_salary_value: int | None = Field(default=None)
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director_poc_category: str | None = Field(default=None)
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pros: str | None = Field(default=None)
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cons: str | None = Field(default=None)
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# Same allowlist as inbox_messages.processing_state: unread|imported|processed|rejected.
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# server_default is load-bearing — ALTER on a populated form_data table.
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processing_state: str = Field(default="unread", sa_column_kwargs={"server_default": "unread"})
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is_duplicate: bool = Field(default=False, sa_column_kwargs={"server_default": "false"})
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raw_record: dict | None = Field(default=None, sa_column=Column(JSONB))
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imported_at: datetime = Field(default_factory=_now, sa_type=DateTime(timezone=True))
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created_at: datetime = Field(default_factory=_now, sa_type=DateTime(timezone=True))
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updated_at: datetime = Field(default_factory=_now, sa_type=DateTime(timezone=True))
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@classmethod
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def _filters(cls, *, sheet=None, search=None, processing_state=None, is_duplicate=None):
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filters = []
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if sheet:
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filters.append(cls.sheet == sheet)
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if processing_state:
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filters.append(cls.processing_state == processing_state)
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if is_duplicate is not None:
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filters.append(cls.is_duplicate == bool(is_duplicate))
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if search:
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# Twelve unanchored ILIKEs over ~26k rows is a sequential scan of a few
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# tens of ms — acceptable at this size; a pg_trgm GIN index is the
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# upgrade if the sheet grows an order of magnitude.
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pattern = f"%{search}%"
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filters.append(or_(
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cls.name.ilike(pattern),
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cls.candidate_email.ilike(pattern),
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cls.candidate_number.ilike(pattern),
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cls.screened_by.ilike(pattern),
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cls.degree.ilike(pattern),
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cls.university.ilike(pattern),
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cls.experience.ilike(pattern),
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cls.experience_details.ilike(pattern),
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cls.current_company.ilike(pattern),
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cls.position_applied_for.ilike(pattern),
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cls.area_of_expertise.ilike(pattern),
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cls.source_of_application.ilike(pattern),
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cls.cnic.ilike(pattern),
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cls.residing_city.ilike(pattern),
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))
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return filters
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@classmethod
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async def get_form_data_by_id(cls, session: AsyncSession, record_id):
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try:
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rid = uuid.UUID(str(record_id))
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except (TypeError, ValueError):
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return None
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result = await session.execute(select(cls).where(cls.id == rid))
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return result.scalars().first()
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@classmethod
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async def get_with_job(cls, session: AsyncSession, record_id, job_post_id):
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"""Form row + one job it may be scored against (suggested or assigned)."""
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from job.job_post.models import JobPosts
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form = await cls.get_form_data_by_id(session, record_id)
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if form is None:
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return None, None
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try:
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jid = uuid.UUID(str(job_post_id))
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except (TypeError, ValueError):
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return None, None
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if jid not in set(cls.score_job_ids(form)):
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return None, None
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job = await JobPosts.get_job_post_by_id(session, jid)
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if job is None or job.is_deleted:
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return None, None
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return form, job
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@staticmethod
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def score_job_ids(row) -> list[uuid.UUID]:
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"""Jobs ATS may score: assigned only, else every suggested id."""
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if row is None:
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return []
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getter = row.get if isinstance(row, dict) else lambda key, default=None: getattr(row, key, default)
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assigned = getter("assigned_job_post_id") or getter("job_post_id")
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if assigned not in (None, ""):
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try:
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return [uuid.UUID(str(assigned))]
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except (TypeError, ValueError):
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return []
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out: list[uuid.UUID] = []
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seen: set[uuid.UUID] = set()
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for raw in getter("suggested_job_post_ids") or []:
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try:
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uid = uuid.UUID(str(raw))
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except (TypeError, ValueError):
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continue
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if uid not in seen:
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seen.add(uid)
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out.append(uid)
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return out
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@classmethod
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async def set_job_post(cls, session: AsyncSession, record_id, job_post_id):
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"""Set or clear the recruiter assignment; returns the row or None if missing."""
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row = await cls.get_form_data_by_id(session, record_id)
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if not row:
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return None
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if job_post_id is None:
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row.job_post_id = None
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row.assigned_job_post_id = None
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else:
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try:
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uid = uuid.UUID(str(job_post_id))
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except (TypeError, ValueError):
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return None
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row.job_post_id = uid
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row.assigned_job_post_id = uid
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row.updated_at = _now()
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session.add(row)
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await session.commit()
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await session.refresh(row)
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return row
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@classmethod
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async def set_processing_state(cls, session: AsyncSession, record_id, processing_state: str):
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row = await cls.get_form_data_by_id(session, record_id)
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if not row:
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return None
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row.processing_state = processing_state
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row.updated_at = _now()
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session.add(row)
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await session.commit()
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await session.refresh(row)
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return row
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@classmethod
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async def set_duplicate(cls, session: AsyncSession, record_id, is_duplicate: bool):
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row = await cls.get_form_data_by_id(session, record_id)
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if not row:
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return None
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row.is_duplicate = bool(is_duplicate)
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row.updated_at = _now()
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session.add(row)
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await session.commit()
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await session.refresh(row)
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return row
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@classmethod
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async def link_manual_upload(cls, session: AsyncSession, record_id, manual_upload_candidate_id, *, commit: bool = True):
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row = await cls.get_form_data_by_id(session, record_id)
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if not row:
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return None
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try:
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row.manual_upload_candidate_id = uuid.UUID(str(manual_upload_candidate_id))
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except (TypeError, ValueError):
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return None
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row.updated_at = _now()
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session.add(row)
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if commit:
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await session.commit()
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await session.refresh(row)
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return row
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@classmethod
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async def set_extracted_data(
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cls, session: AsyncSession, record_id, extracted_data, *, commit: bool = True,
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):
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row = await cls.get_form_data_by_id(session, record_id)
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if not row:
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return None
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row.extracted_data = extracted_data
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row.updated_at = _now()
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session.add(row)
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if commit:
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await session.commit()
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await session.refresh(row)
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return row
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@classmethod
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async def fetch_resume_links(cls, session: AsyncSession, sheet: str):
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"""(id, resume_link) for one tab. Blank links are dropped."""
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statement = (
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select(cls.id, cls.resume_link)
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.where(cls.sheet == sheet)
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.where(cls.resume_link.is_not(None))
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.order_by(cls.row_number)
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)
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result = await session.execute(statement)
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rows = []
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for record_id, link in result.all():
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text = (link or "").strip()
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if text:
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rows.append((record_id, text))
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return rows
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@classmethod
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async def fetch_form_data(
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cls, session: AsyncSession, *, sheet=None, search=None,
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processing_state=None, is_duplicate=None, offset=0, limit=None,
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):
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statement = select(cls).order_by(cls.sheet, cls.row_number)
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for clause in cls._filters(
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sheet=sheet, search=search,
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processing_state=processing_state, is_duplicate=is_duplicate,
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):
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statement = statement.where(clause)
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if offset:
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statement = statement.offset(offset)
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if limit is not None:
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statement = statement.limit(limit)
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statement = statement.order_by(cls.row_number)
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result = await session.execute(statement)
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return result.scalars().all()
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@classmethod
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async def count_form_data(
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cls, session: AsyncSession, *, sheet=None, search=None,
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processing_state=None, is_duplicate=None,
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):
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statement = select(func.count()).select_from(cls)
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for clause in cls._filters(
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sheet=sheet, search=search,
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processing_state=processing_state, is_duplicate=is_duplicate,
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):
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statement = statement.where(clause)
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result = await session.execute(statement)
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return result.scalar_one()
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@classmethod
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async def count_processing(cls, session: AsyncSession, *, sheet=None):
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"""Tab badge counts for the Sheet Forms channel."""
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statement = select(
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func.count().label("all"),
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func.coalesce(func.sum(case((cls.processing_state == "unread", 1), else_=0)), 0).label("unread"),
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func.coalesce(func.sum(case((cls.processing_state == "imported", 1), else_=0)), 0).label("imported"),
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func.coalesce(func.sum(case((cls.processing_state == "processed", 1), else_=0)), 0).label("processed"),
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func.coalesce(func.sum(case((cls.processing_state == "rejected", 1), else_=0)), 0).label("rejected"),
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func.coalesce(func.sum(case((cls.is_duplicate == True, 1), else_=0)), 0).label("duplicates"), # noqa: E712
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).select_from(cls)
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if sheet:
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statement = statement.where(cls.sheet == sheet)
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row = (await session.execute(statement)).one()
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return {
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"all": int(row.all or 0),
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"unread": int(row.unread or 0),
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"imported": int(row.imported or 0),
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"processed": int(row.processed or 0),
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"rejected": int(row.rejected or 0),
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"duplicates": int(row.duplicates or 0),
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}
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@classmethod
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async def get_sheet_names(cls, session: AsyncSession):
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result = await session.execute(
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select(cls.sheet).distinct().order_by(cls.sheet)
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)
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return list(result.scalars().all())
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@classmethod
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async def delete_by_sheet(cls, session: AsyncSession, sheet: str, *, commit: bool = True):
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count_result = await session.execute(
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select(func.count()).select_from(cls).where(cls.sheet == sheet)
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)
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deleted = count_result.scalar_one()
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await session.execute(delete(cls).where(cls.sheet == sheet))
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if commit:
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await session.commit()
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return deleted
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@classmethod
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async def insert_form_data_bulk(
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cls, session: AsyncSession, records: list[dict], *, commit: bool = True,
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):
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# Core insertmanyvalues — building ~26k ORM instances is the slow path.
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# default_factory does not run on Core insert, so stamp timestamps here.
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now = _now()
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total = 0
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for start in range(0, len(records), _BULK_CHUNK):
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chunk = []
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for fields in records[start:start + _BULK_CHUNK]:
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row = dict(fields)
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row.setdefault("id", uuid.uuid4())
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row.setdefault("imported_at", now)
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row.setdefault("created_at", now)
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row.setdefault("updated_at", now)
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chunk.append(row)
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if chunk:
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await session.execute(insert(cls), chunk)
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total += len(chunk)
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if commit:
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await session.commit()
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return total
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@classmethod
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async def replace_sheet(cls, session: AsyncSession, sheet: str, records: list[dict]):
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"""Delete + insert in one transaction so a mid-insert failure keeps prior rows."""
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deleted = await cls.delete_by_sheet(session, sheet, commit=False)
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inserted = await cls.insert_form_data_bulk(session, records, commit=False)
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await session.commit()
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return {"deleted": deleted, "inserted": inserted}
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@classmethod
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async def stamp_suggested_job_posts(
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cls, session: AsyncSession, records: list[dict],
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) -> list[dict]:
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"""Set suggested_job_post_ids from ILIKE title match on position_applied_for.
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One applied-for title can match many job_posts. Blank or no match → [].
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Recruiter assignment (job_post_id / assigned_job_post_id) stays unset.
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"""
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from job.job_post.models import JobPosts
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found = await JobPosts.ids_for_titles_ilike(
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session,
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[r.get("position_applied_for") for r in records],
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)
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for record in records:
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applied = (record.get("position_applied_for") or "").strip()
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hits = found.get(applied) or [] if applied else []
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record["suggested_job_post_ids"] = [str(uid) for uid in hits]
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record["job_post_id"] = None
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record["assigned_job_post_id"] = None
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return records
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@staticmethod
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def _cell(data: dict, key: str):
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"""Sheet cell → stripped str, or None if missing/blank."""
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value = data.get(key)
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if value is None:
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return None
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text = str(value).strip()
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return text if text else None
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@classmethod
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def from_sheet_row(cls, sheet: str, row_number: int, data: dict) -> dict:
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"""Build FormData kwargs from one sheet row dict (exact header keys, no aliases).
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Year of Graduation: prefer the second column when present; else the first;
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else None. Duplicate headers are renamed Year of Graduation_1 by normalise_headers.
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"""
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from g_sheet.plugins import parse_date, parse_date_time, parse_salary
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first_year = cls._cell(data, "Year of Graduation")
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second_year = cls._cell(data, "Year of Graduation_1")
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if second_year:
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entry_year = second_year
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elif first_year:
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entry_year = first_year
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else:
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entry_year = None
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timestamp_raw = data.get("Timestamp")
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entry_date, entry_time = parse_date_time(timestamp_raw)
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current_salary = cls._cell(data, "Current Salary")
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expected_salary = cls._cell(data, "Expected Salary")
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return {
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"sheet": sheet,
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"row_number": row_number,
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"raw_record": dict(data),
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"entry_year": entry_year,
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"entry_date": entry_date,
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"entry_time": entry_time,
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"name": cls._cell(data, "Full Name"),
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"gender": cls._cell(data, "Gender"),
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"candidate_number": cls._cell(data, "Phone number (03XX-XXXXXXX)"),
|
|
"candidate_email": cls._cell(data, "Email"),
|
|
"date_of_birth": parse_date(data.get("Date of Birth")),
|
|
"cnic": cls._cell(data, "National Identification No. (42000-XXXXXXX-X)"),
|
|
"marital_status": cls._cell(data, "Marital Status"),
|
|
"position_applied_for": cls._cell(data, "Position Applied For"),
|
|
"profile_link": cls._cell(data, "LinkedIn Profile Link"),
|
|
"residing_country": cls._cell(data, "Residing Country"),
|
|
"residing_city": cls._cell(data, "Residing City"),
|
|
"ho_availability": cls._cell(data, "Are you willing to relocate?"),
|
|
"degree": cls._cell(data, "Educational Degree"),
|
|
"university": cls._cell(data, "University"),
|
|
"university_other": cls._cell(
|
|
data,
|
|
"If your university is not listed above, please specify its name.",
|
|
),
|
|
"notice_period": cls._cell(data, "How soon can you join us?"),
|
|
"resume_link": cls._cell(data, "Drop your updated resume"),
|
|
"source_of_application": cls._cell(
|
|
data,
|
|
"Where did you hear about the position you're applying for?",
|
|
),
|
|
"cgpa": cls._cell(data, "CGPA"),
|
|
"area_of_expertise": cls._cell(data, "Area of Interest"),
|
|
"current_salary": current_salary,
|
|
"current_salary_value": parse_salary(current_salary),
|
|
"expected_salary": expected_salary,
|
|
"expected_salary_value": parse_salary(expected_salary),
|
|
"screened_by": cls._cell(data, "Recruiter"),
|
|
"hr_comments": cls._cell(data, "HR Comment"),
|
|
"director_poc_category": cls._cell(data, "Director / POC / Category"),
|
|
}
|
|
|
|
|
|
class SheetImportRun(SQLModel, table=True):
|
|
"""One Google Sheet → FormData import job (Taskiq). Survives tab close."""
|
|
|
|
__tablename__ = "sheet_import_runs"
|
|
|
|
id: uuid.UUID = Field(default_factory=uuid.uuid4, primary_key=True)
|
|
status: str = Field(default="queued", index=True) # queued|running|completed|failed
|
|
task_id: str | None = Field(default=None)
|
|
# Plain UUID — no ORM FK. Importing users.models pulls Users→Inbox relationships
|
|
# that the sheet worker does not load; the DB constraint still enforces integrity.
|
|
created_by: uuid.UUID | None = Field(default=None)
|
|
tab: str | None = Field(default=None) # None = import all tabs
|
|
report: dict | None = Field(default=None, sa_column=Column(JSONB))
|
|
error: str | None = Field(default=None)
|
|
created_at: datetime = Field(default_factory=_now, sa_type=DateTime(timezone=True))
|
|
started_at: datetime | None = Field(default=None, sa_type=DateTime(timezone=True))
|
|
finished_at: datetime | None = Field(default=None, sa_type=DateTime(timezone=True))
|
|
|
|
@staticmethod
|
|
def _as_uuid(record_id) -> uuid.UUID | None:
|
|
if record_id in (None, ""):
|
|
return None
|
|
try:
|
|
return uuid.UUID(str(record_id))
|
|
except ValueError:
|
|
return None
|
|
|
|
@classmethod
|
|
async def get_by_id(cls, session: AsyncSession, record_id):
|
|
uid = cls._as_uuid(record_id)
|
|
if uid is None:
|
|
return None
|
|
result = await session.execute(select(cls).where(cls.id == uid))
|
|
return result.scalars().first()
|
|
|
|
@classmethod
|
|
async def get_active(cls, session: AsyncSession):
|
|
result = await session.execute(
|
|
select(cls)
|
|
.where(cls.status.in_(("queued", "running")))
|
|
.order_by(cls.created_at.desc())
|
|
)
|
|
return result.scalars().first()
|
|
|
|
@classmethod
|
|
async def get_latest(cls, session: AsyncSession):
|
|
result = await session.execute(
|
|
select(cls).order_by(cls.created_at.desc()).limit(1)
|
|
)
|
|
return result.scalars().first()
|
|
|
|
@classmethod
|
|
async def delete_failed(cls, session: AsyncSession, *, commit: bool = True):
|
|
"""Drop failed import rows so a new job is not blocked by them."""
|
|
result = await session.execute(delete(cls).where(cls.status == "failed"))
|
|
if commit:
|
|
await session.commit()
|
|
return result.rowcount
|
|
|
|
@classmethod
|
|
async def insert_run(cls, session: AsyncSession, fields: dict, *, commit: bool = True):
|
|
row = cls(**fields)
|
|
session.add(row)
|
|
if commit:
|
|
await session.commit()
|
|
await session.refresh(row)
|
|
return row
|
|
|
|
@classmethod
|
|
async def update_run(cls, session: AsyncSession, record_id, fields: dict, *, commit: bool = True):
|
|
row = await cls.get_by_id(session, record_id)
|
|
if not row:
|
|
return None
|
|
for key, value in fields.items():
|
|
setattr(row, key, value)
|
|
session.add(row)
|
|
if commit:
|
|
await session.commit()
|
|
await session.refresh(row)
|
|
return row
|