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this code was moved to https://gitea.tmmworkshop.com/Nornsight/weave
This commit was merged in pull request #20.
This commit is contained in:
2026-06-13 21:14:42 -04:00
parent e05e5c77bc
commit 5d3a851137
24 changed files with 0 additions and 7232 deletions
-2
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@@ -1,11 +1,9 @@
"""ORM package exports."""
from python.orm.data_science_dev.base import DataScienceDevBase
from python.orm.richie.base import RichieBase
from python.orm.van_inventory.base import VanInventoryBase
__all__ = [
"DataScienceDevBase",
"RichieBase",
"VanInventoryBase",
]
-11
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@@ -1,11 +0,0 @@
"""Data science dev database ORM exports."""
from __future__ import annotations
from python.orm.data_science_dev.base import DataScienceDevBase, DataScienceDevTableBase, DataScienceDevTableBaseBig
__all__ = [
"DataScienceDevBase",
"DataScienceDevTableBase",
"DataScienceDevTableBaseBig",
]
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@@ -1,52 +0,0 @@
"""Data science dev database ORM base."""
from __future__ import annotations
from datetime import datetime
from sqlalchemy import BigInteger, DateTime, MetaData, func
from sqlalchemy.ext.declarative import AbstractConcreteBase
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
from python.orm.common import NAMING_CONVENTION
class DataScienceDevBase(DeclarativeBase):
"""Base class for data_science_dev database ORM models."""
schema_name = "main"
metadata = MetaData(
schema=schema_name,
naming_convention=NAMING_CONVENTION,
)
class _TableMixin:
"""Shared timestamp columns for all table bases."""
created: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
)
updated: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
onupdate=func.now(),
)
class DataScienceDevTableBase(_TableMixin, AbstractConcreteBase, DataScienceDevBase):
"""Table with Integer primary key."""
__abstract__ = True
id: Mapped[int] = mapped_column(primary_key=True)
class DataScienceDevTableBaseBig(_TableMixin, AbstractConcreteBase, DataScienceDevBase):
"""Table with BigInteger primary key."""
__abstract__ = True
id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
@@ -1,14 +0,0 @@
"""init."""
from python.orm.data_science_dev.congress.bill import Bill, BillText
from python.orm.data_science_dev.congress.legislator import Legislator, LegislatorSocialMedia
from python.orm.data_science_dev.congress.vote import Vote, VoteRecord
__all__ = [
"Bill",
"BillText",
"Legislator",
"LegislatorSocialMedia",
"Vote",
"VoteRecord",
]
@@ -1,66 +0,0 @@
"""Bill model - legislation introduced in Congress."""
from __future__ import annotations
from datetime import date
from typing import TYPE_CHECKING
from sqlalchemy import ForeignKey, Index, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column, relationship
from python.orm.data_science_dev.base import DataScienceDevTableBase
if TYPE_CHECKING:
from python.orm.data_science_dev.congress.vote import Vote
class Bill(DataScienceDevTableBase):
"""Legislation with congress number, type, titles, status, and sponsor."""
__tablename__ = "bill"
congress: Mapped[int]
bill_type: Mapped[str]
number: Mapped[int]
title: Mapped[str | None]
title_short: Mapped[str | None]
official_title: Mapped[str | None]
status: Mapped[str | None]
status_at: Mapped[date | None]
sponsor_bioguide_id: Mapped[str | None]
subjects_top_term: Mapped[str | None]
votes: Mapped[list[Vote]] = relationship(
"Vote",
back_populates="bill",
)
bill_texts: Mapped[list[BillText]] = relationship(
"BillText",
back_populates="bill",
cascade="all, delete-orphan",
)
__table_args__ = (
UniqueConstraint("congress", "bill_type", "number", name="uq_bill_congress_type_number"),
Index("ix_bill_congress", "congress"),
)
class BillText(DataScienceDevTableBase):
"""Stores different text versions of a bill (introduced, enrolled, etc.)."""
__tablename__ = "bill_text"
bill_id: Mapped[int] = mapped_column(ForeignKey("main.bill.id", ondelete="CASCADE"))
version_code: Mapped[str]
version_name: Mapped[str | None]
text_content: Mapped[str | None]
date: Mapped[date | None]
bill: Mapped[Bill] = relationship("Bill", back_populates="bill_texts")
__table_args__ = (UniqueConstraint("bill_id", "version_code", name="uq_bill_text_bill_id_version_code"),)
@@ -1,66 +0,0 @@
"""Legislator model - members of Congress."""
from __future__ import annotations
from datetime import date
from typing import TYPE_CHECKING
from sqlalchemy import ForeignKey, Text
from sqlalchemy.orm import Mapped, mapped_column, relationship
from python.orm.data_science_dev.base import DataScienceDevTableBase
if TYPE_CHECKING:
from python.orm.data_science_dev.congress.vote import VoteRecord
class Legislator(DataScienceDevTableBase):
"""Members of Congress with identification and current term info."""
__tablename__ = "legislator"
bioguide_id: Mapped[str] = mapped_column(Text, unique=True, index=True)
thomas_id: Mapped[str | None]
lis_id: Mapped[str | None]
govtrack_id: Mapped[int | None]
opensecrets_id: Mapped[str | None]
fec_ids: Mapped[str | None]
first_name: Mapped[str]
last_name: Mapped[str]
official_full_name: Mapped[str | None]
nickname: Mapped[str | None]
birthday: Mapped[date | None]
gender: Mapped[str | None]
current_party: Mapped[str | None]
current_state: Mapped[str | None]
current_district: Mapped[int | None]
current_chamber: Mapped[str | None]
social_media_accounts: Mapped[list[LegislatorSocialMedia]] = relationship(
"LegislatorSocialMedia",
back_populates="legislator",
cascade="all, delete-orphan",
)
vote_records: Mapped[list[VoteRecord]] = relationship(
"VoteRecord",
back_populates="legislator",
cascade="all, delete-orphan",
)
class LegislatorSocialMedia(DataScienceDevTableBase):
"""Social media account linked to a legislator."""
__tablename__ = "legislator_social_media"
legislator_id: Mapped[int] = mapped_column(ForeignKey("main.legislator.id"))
platform: Mapped[str]
account_name: Mapped[str]
url: Mapped[str | None]
source: Mapped[str]
legislator: Mapped[Legislator] = relationship(back_populates="social_media_accounts")
@@ -1,79 +0,0 @@
"""Vote model - roll call votes in Congress."""
from __future__ import annotations
from datetime import date
from typing import TYPE_CHECKING
from sqlalchemy import ForeignKey, Index, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column, relationship
from python.orm.data_science_dev.base import DataScienceDevBase, DataScienceDevTableBase
if TYPE_CHECKING:
from python.orm.data_science_dev.congress.bill import Bill
from python.orm.data_science_dev.congress.legislator import Legislator
from python.orm.data_science_dev.congress.vote import Vote
class VoteRecord(DataScienceDevBase):
"""Links a vote to a legislator with their position (Yea, Nay, etc.)."""
__tablename__ = "vote_record"
vote_id: Mapped[int] = mapped_column(
ForeignKey("main.vote.id", ondelete="CASCADE"),
primary_key=True,
)
legislator_id: Mapped[int] = mapped_column(
ForeignKey("main.legislator.id", ondelete="CASCADE"),
primary_key=True,
)
position: Mapped[str]
vote: Mapped[Vote] = relationship("Vote", back_populates="vote_records")
legislator: Mapped[Legislator] = relationship("Legislator", back_populates="vote_records")
class Vote(DataScienceDevTableBase):
"""Roll call votes with counts and optional bill linkage."""
__tablename__ = "vote"
congress: Mapped[int]
chamber: Mapped[str]
session: Mapped[int]
number: Mapped[int]
vote_type: Mapped[str | None]
question: Mapped[str | None]
result: Mapped[str | None]
result_text: Mapped[str | None]
vote_date: Mapped[date]
yea_count: Mapped[int | None]
nay_count: Mapped[int | None]
not_voting_count: Mapped[int | None]
present_count: Mapped[int | None]
bill_id: Mapped[int | None] = mapped_column(ForeignKey("main.bill.id"))
bill: Mapped[Bill | None] = relationship("Bill", back_populates="votes")
vote_records: Mapped[list[VoteRecord]] = relationship(
"VoteRecord",
back_populates="vote",
cascade="all, delete-orphan",
)
__table_args__ = (
UniqueConstraint(
"congress",
"chamber",
"session",
"number",
name="uq_vote_congress_chamber_session_number",
),
Index("ix_vote_date", "vote_date"),
Index("ix_vote_congress_chamber", "congress", "chamber"),
)
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@@ -1,16 +0,0 @@
"""Data science dev database ORM models."""
from __future__ import annotations
from python.orm.data_science_dev.congress import Bill, BillText, Legislator, Vote, VoteRecord
from python.orm.data_science_dev.posts import partitions # noqa: F401 — registers partition classes in metadata
from python.orm.data_science_dev.posts.tables import Posts
__all__ = [
"Bill",
"BillText",
"Legislator",
"Posts",
"Vote",
"VoteRecord",
]
@@ -1,11 +0,0 @@
"""Posts module — weekly-partitioned posts table and partition ORM models."""
from __future__ import annotations
from python.orm.data_science_dev.posts.failed_ingestion import FailedIngestion
from python.orm.data_science_dev.posts.tables import Posts
__all__ = [
"FailedIngestion",
"Posts",
]
@@ -1,33 +0,0 @@
"""Shared column definitions for the posts partitioned table family."""
from __future__ import annotations
from datetime import datetime
from sqlalchemy import BigInteger, SmallInteger, Text
from sqlalchemy.orm import Mapped, mapped_column
class PostsColumns:
"""Mixin providing all posts columns. Used by both the parent table and partitions."""
post_id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
user_id: Mapped[int] = mapped_column(BigInteger)
instance: Mapped[str]
date: Mapped[datetime] = mapped_column(primary_key=True)
text: Mapped[str] = mapped_column(Text)
langs: Mapped[str | None]
like_count: Mapped[int]
reply_count: Mapped[int]
repost_count: Mapped[int]
reply_to: Mapped[int | None] = mapped_column(BigInteger)
replied_author: Mapped[int | None] = mapped_column(BigInteger)
thread_root: Mapped[int | None] = mapped_column(BigInteger)
thread_root_author: Mapped[int | None] = mapped_column(BigInteger)
repost_from: Mapped[int | None] = mapped_column(BigInteger)
reposted_author: Mapped[int | None] = mapped_column(BigInteger)
quotes: Mapped[int | None] = mapped_column(BigInteger)
quoted_author: Mapped[int | None] = mapped_column(BigInteger)
labels: Mapped[str | None]
sent_label: Mapped[int | None] = mapped_column(SmallInteger)
sent_score: Mapped[float | None]
@@ -1,17 +0,0 @@
"""Table for storing JSONL lines that failed during post ingestion."""
from __future__ import annotations
from sqlalchemy import Text
from sqlalchemy.orm import Mapped, mapped_column
from python.orm.data_science_dev.base import DataScienceDevTableBase
class FailedIngestion(DataScienceDevTableBase):
"""Stores raw JSONL lines and their error messages when ingestion fails."""
__tablename__ = "failed_ingestion"
raw_line: Mapped[str] = mapped_column(Text)
error: Mapped[str] = mapped_column(Text)
@@ -1,71 +0,0 @@
"""Dynamically generated ORM classes for each weekly partition of the posts table.
Each class maps to a PostgreSQL partition table (e.g. posts_2024_01).
These are real ORM models tracked by Alembic autogenerate.
Uses ISO week numbering (datetime.isocalendar().week). ISO years can have
52 or 53 weeks, and week boundaries are always Monday to Monday.
"""
from __future__ import annotations
import sys
from datetime import UTC, datetime
from python.orm.data_science_dev.base import DataScienceDevBase
from python.orm.data_science_dev.posts.columns import PostsColumns
PARTITION_START_YEAR = 2023
PARTITION_END_YEAR = 2026
_current_module = sys.modules[__name__]
def iso_weeks_in_year(year: int) -> int:
"""Return the number of ISO weeks in a given year (52 or 53)."""
dec_28 = datetime(year, 12, 28, tzinfo=UTC)
return dec_28.isocalendar().week
def week_bounds(year: int, week: int) -> tuple[datetime, datetime]:
"""Return (start, end) datetimes for an ISO week.
Start = Monday 00:00:00 UTC of the given ISO week.
End = Monday 00:00:00 UTC of the following ISO week.
"""
start = datetime.fromisocalendar(year, week, 1).replace(tzinfo=UTC)
if week < iso_weeks_in_year(year):
end = datetime.fromisocalendar(year, week + 1, 1).replace(tzinfo=UTC)
else:
end = datetime.fromisocalendar(year + 1, 1, 1).replace(tzinfo=UTC)
return start, end
def _build_partition_classes() -> dict[str, type]:
"""Generate one ORM class per ISO week partition."""
classes: dict[str, type] = {}
for year in range(PARTITION_START_YEAR, PARTITION_END_YEAR + 1):
for week in range(1, iso_weeks_in_year(year) + 1):
class_name = f"PostsWeek{year}W{week:02d}"
table_name = f"posts_{year}_{week:02d}"
partition_class = type(
class_name,
(PostsColumns, DataScienceDevBase),
{
"__tablename__": table_name,
"__table_args__": ({"implicit_returning": False},),
},
)
classes[class_name] = partition_class
return classes
# Generate all partition classes and register them on this module
_partition_classes = _build_partition_classes()
for _name, _cls in _partition_classes.items():
setattr(_current_module, _name, _cls)
__all__ = list(_partition_classes.keys())
@@ -1,13 +0,0 @@
"""Posts parent table with PostgreSQL weekly range partitioning on date column."""
from __future__ import annotations
from python.orm.data_science_dev.base import DataScienceDevBase
from python.orm.data_science_dev.posts.columns import PostsColumns
class Posts(PostsColumns, DataScienceDevBase):
"""Parent partitioned table for posts, partitioned by week on `date`."""
__tablename__ = "posts"
__table_args__ = ({"postgresql_partition_by": "RANGE (date)"},)