127 lines
3.9 KiB
Python
127 lines
3.9 KiB
Python
"""raise agent runtime profile timeouts above validation floor
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Revision ID: 20260517_agent_runtime_valid_profile_timeouts
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Revises: 20260516_agent_answer_composer_budget
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Create Date: 2026-05-17
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"""
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from __future__ import annotations
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import json
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import os
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from typing import Any
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from alembic import op
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import sqlalchemy as sa
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revision = "20260517_agent_runtime_valid_profile_timeouts"
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down_revision = "20260516_agent_answer_composer_budget"
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branch_labels = None
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depends_on = None
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PROFILE_UPDATES: dict[str, dict[str, Any]] = {
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"pmflow_ai_agent_goal_frame": {
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"provider_timeout_seconds": 20,
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"job_timeout_seconds": 24,
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"foreground_wait_seconds": 8,
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"max_tokens": 1600,
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"repair_max_tokens": 600,
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"response_mode": "fast",
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"runtime_mode": "active",
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"quality_gate_mode": "off",
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},
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"pmflow_ai_agent_step_planner": {
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"provider_timeout_seconds": 20,
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"job_timeout_seconds": 24,
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"foreground_wait_seconds": 8,
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"max_tokens": 1600,
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"repair_max_tokens": 600,
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"response_mode": "fast",
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"runtime_mode": "active",
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"quality_gate_mode": "off",
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},
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"pmflow_ai_agent_state_critic": {
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"provider_timeout_seconds": 16,
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"job_timeout_seconds": 20,
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"foreground_wait_seconds": 6,
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"max_tokens": 1600,
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"repair_max_tokens": 600,
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"response_mode": "fast",
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"runtime_mode": "active",
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"quality_gate_mode": "off",
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},
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"pmflow_ai_agent_answer_composer": {
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"provider_timeout_seconds": 35,
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"job_timeout_seconds": 40,
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"foreground_wait_seconds": 10,
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"max_tokens": 3600,
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"repair_max_tokens": 900,
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"response_mode": "fast",
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"runtime_mode": "active",
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"quality_gate_mode": "off",
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},
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"pmflow_ai_agent_answer_reviser": {
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"provider_timeout_seconds": 20,
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"job_timeout_seconds": 24,
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"foreground_wait_seconds": 8,
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"max_tokens": 2600,
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"repair_max_tokens": 900,
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"response_mode": "fast",
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"runtime_mode": "active",
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"quality_gate_mode": "off",
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},
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}
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def _table_exists(bind: Any, table_name: str) -> bool:
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return sa.inspect(bind).has_table(table_name)
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def upgrade() -> None:
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bind = op.get_bind()
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if not _table_exists(bind, "integrations"):
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return
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tenant_id = int(os.getenv("PMFLOW_PLATFORM_RUNTIME_TENANT_ID", "1") or "1")
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row = bind.execute(
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sa.text(
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"""
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SELECT id, config FROM integrations
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WHERE tenant_id = :tenant_id
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AND type = 'ai_function_runtime_profiles'
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AND is_active = true
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ORDER BY id DESC
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LIMIT 1
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"""
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),
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{"tenant_id": tenant_id},
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).mappings().first()
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if row is None:
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return
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config = row.get("config") if isinstance(row.get("config"), dict) else {}
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changed = False
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for stage in ("active", "draft"):
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stage_packet = config.get(stage) if isinstance(config.get(stage), dict) else {}
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profiles = stage_packet.get("profiles") if isinstance(stage_packet.get("profiles"), dict) else {}
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for function_name, updates in PROFILE_UPDATES.items():
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profile = profiles.get(function_name)
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if not isinstance(profile, dict):
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continue
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for key, value in updates.items():
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if profile.get(key) != value:
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profile[key] = value
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changed = True
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if not changed:
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return
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config["active_version"] = "profile-v20260517-agent-runtime-valid-profile-timeouts"
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config["version"] = config["active_version"]
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bind.execute(
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sa.text("UPDATE integrations SET config = CAST(:config AS jsonb) WHERE id = :id"),
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{"id": int(row["id"]), "config": json.dumps(config, ensure_ascii=False)},
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)
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def downgrade() -> None:
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return None
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