- analysis.py: deterministic claim scorer + /analyze /approve /letter /advance-tier endpoints (auto-runs on intake) - packet.py + packet_fields.json: welcome-packet templating engine (6 onboarding docs, field catalog) - letterstream.py + letters.py: certified-mail send pipeline + letter lifecycle (webhook verified) - docuseal.py: DocuSeal signing integration - staff.py/models.py/schema.sql/auth.py: approval actor from staff key, tier gate (APPROVED+ACTIVE+onboarding docs), onboarding_docs table - frontend/: dependency-free static portal (intake, magic-link login/verify, dashboard) - landing-mockups/: 4 design-stance mockups + favicons - legal/: aup/privacy/sms-terms/terms HTML - docs/: letter-queue scope, letterstream API contract, 6 welcome-packet templates - review-dre-landing-2026-08-21.md: 3-variant landing feedback sprint - compliance/DRE_Compliance_Manual.md: updated Source synced from deployed /opt/dre-portal/app/ (was 4 days ahead of git).
143 lines
4.8 KiB
Python
143 lines
4.8 KiB
Python
"""SQLite connection helper — stdlib sqlite3, parameterized queries only.
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PRAGMA foreign_keys=ON, journal_mode=WAL, busy_timeout=5000 on every connection.
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No ORM. Initializes schema on first boot and seeds number_sequences for current year.
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"""
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from __future__ import annotations
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import os
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import sqlite3
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import uuid
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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_SCHEMA_FILE = Path(__file__).resolve().parent / "schema.sql"
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def _utcnow_iso() -> str:
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return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
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def get_db_path() -> str:
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return os.environ.get("DRE_DB_PATH", "/opt/dre-portal/data/dre.db")
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def get_upload_dir() -> str:
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return os.environ.get("DRE_UPLOAD_DIR", "/opt/dre-portal/data/uploads")
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def _apply_pragmas(conn: sqlite3.Connection) -> None:
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conn.execute("PRAGMA foreign_keys = ON;")
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conn.execute("PRAGMA journal_mode = WAL;")
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conn.execute("PRAGMA busy_timeout = 5000;")
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def get_conn() -> sqlite3.Connection:
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"""Return a connection with pragmas applied and row factory."""
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db_path = get_db_path()
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Path(db_path).parent.mkdir(parents=True, exist_ok=True)
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conn = sqlite3.connect(db_path, timeout=5.0)
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conn.row_factory = sqlite3.Row
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_apply_pragmas(conn)
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return conn
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def init_db() -> None:
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"""Create schema if absent, migrate, and seed number_sequences for the current year."""
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with get_conn() as conn:
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schema_sql = _SCHEMA_FILE.read_text()
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conn.executescript(schema_sql)
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_migrate(conn)
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# Seed sequences for current year (idempotent)
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year = datetime.now(timezone.utc).year
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for prefix in ("DRE", "CLT"):
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conn.execute(
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"INSERT OR IGNORE INTO number_sequences (prefix, year, last_value) VALUES (?, ?, 0)",
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(prefix, year),
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)
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conn.commit()
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def _migrate(conn: sqlite3.Connection) -> None:
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"""Add analysis/approval/letter columns to `claims` if they don't already exist.
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SQLite lacks `ADD COLUMN IF NOT EXISTS`, so we inspect PRAGMA table_info first.
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Idempotent — safe to run on every boot.
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"""
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existing = {row["name"] for row in conn.execute("PRAGMA table_info(claims)").fetchall()}
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additions = {
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"no_other_agency_at": "TEXT",
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"no_prior_action_at": "TEXT",
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"analysis_score": "INTEGER",
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"analysis_summary": "TEXT",
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"analysis_components": "TEXT",
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"analysis_at": "TEXT",
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"recommended_tier": "TEXT",
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"approval_status": "TEXT NOT NULL DEFAULT 'NONE'",
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"approval_decision_by": "TEXT",
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"approval_decision_at": "TEXT",
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"letter_subject": "TEXT",
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"letter_body": "TEXT",
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"letter_tier": "TEXT",
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"letter_updated_at": "TEXT",
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}
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for col, ddl in additions.items():
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if col not in existing:
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conn.execute(f"ALTER TABLE claims ADD COLUMN {col} {ddl}")
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# onboarding_docs -> DocuSeal e-sign state (added later than the base schema)
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existing_od = {row["name"] for row in conn.execute("PRAGMA table_info(onboarding_docs)").fetchall()}
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od_additions = {
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"docuseal_submission_id": "TEXT",
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"docuseal_submitter_id": "TEXT",
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"docuseal_slug": "TEXT",
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"docuseal_embed_src": "TEXT",
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"docuseal_status": "TEXT",
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"docuseal_sent_at": "TEXT",
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}
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for col, ddl in od_additions.items():
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if col not in existing_od:
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conn.execute(f"ALTER TABLE onboarding_docs ADD COLUMN {col} {ddl}")
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def new_uuid() -> str:
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return str(uuid.uuid4())
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def utcnow_iso() -> str:
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return _utcnow_iso()
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def next_sequence_number(conn: sqlite3.Connection, prefix: str) -> str:
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"""Atomically allocate the next DRE-YYYY-NNNN / CLT-YYYY-NNNN in a single transaction.
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Uses UPDATE ... RETURNING (SQLite 3.35+) — no races."""
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year = datetime.now(timezone.utc).year
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# Ensure row exists
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conn.execute(
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"INSERT OR IGNORE INTO number_sequences (prefix, year, last_value) VALUES (?, ?, 0)",
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(prefix, year),
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)
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cur = conn.execute(
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"UPDATE number_sequences SET last_value = last_value + 1 WHERE prefix = ? AND year = ? "
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"RETURNING last_value",
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(prefix, year),
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)
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row = cur.fetchone()
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if row is None:
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# Should not happen, but handle defensively
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raise RuntimeError(f"failed to allocate sequence for {prefix}/{year}")
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n = row[0] if isinstance(row, tuple) else row["last_value"]
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val = n if isinstance(n, int) else int(n)
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return f"{prefix}-{year}-{val:04d}"
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def query_one(conn: sqlite3.Connection, sql: str, params: tuple[Any, ...] = ()) -> sqlite3.Row | None:
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cur = conn.execute(sql, params)
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return cur.fetchone()
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def query_all(conn: sqlite3.Connection, sql: str, params: tuple[Any, ...] = ()) -> list[sqlite3.Row]:
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cur = conn.execute(sql, params)
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return cur.fetchall()
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