a2a-source-edit: write agent.py
This commit is contained in:
a2a-cloud
860
agent.py
860
agent.py
@@ -1,769 +1,189 @@
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"""QuoteJudge Studio v1: deterministic quote comparison product agent.
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"""quote-judge-studio-v1 agent.
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This agent intentionally does not call an LLM. It exposes a compact typed A2A
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surface, a packed React app, managed Postgres persistence, MCP-compatible tools,
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and bounded upload paths for both browser JSON and external FileUpload clients.
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Starter stack:
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- DeepAgents for tool-calling orchestration
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- Caller-provided LLM credentials via ctx.llm
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- A tiny model-call middleware hook you can replace with tracing,
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routing, rate limits, or policy checks
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"""
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from __future__ import annotations
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import base64
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import binascii
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import csv
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import hashlib
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import io
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import json
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import os
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import re
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from datetime import UTC, datetime
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from typing import Annotated, Any
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from pathlib import Path
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from typing import Any
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from pydantic import BaseModel, Field, field_validator
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from pydantic import BaseModel
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import a2a_pack as a2a
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from a2a_pack import (
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A2AAgent,
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AgentDatabase,
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AgentDatabaseEnv,
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AgentDatabaseMigrations,
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AgentPlatformResources,
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FileUpload,
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PlatformUserAuth,
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LLMProvisioning,
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{{ auth_type }},
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Pricing,
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RunContext,
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UploadedFile,
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WorkspaceAccess,
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WorkspaceMode,
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)
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DATABASE_NAME = "quote-judge-studio-v1-data"
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MAX_QUOTES = 20
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MAX_UPLOAD_FILES = 2
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MAX_UPLOAD_BYTES = 64 * 1024
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MAX_BASE64_CHARS = ((MAX_UPLOAD_BYTES + 2) // 3) * 4 + 4
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ALLOWED_UPLOAD_MEDIA_TYPES = {
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"application/json",
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"text/json",
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"text/csv",
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"application/csv",
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"text/plain",
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"application/octet-stream",
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}
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_COMPARISON_ID_RE = re.compile(r"^[A-Za-z0-9][A-Za-z0-9_.:-]{0,79}$")
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_LOCAL_COMPARISONS: dict[tuple[str, str], dict[str, Any]] = {}
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_LOCAL_RECEIPTS: list[dict[str, Any]] = []
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from a2a_pack.context import LLMCreds
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class QuoteJudgeStudioV1Config(BaseModel):
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pass
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class QuoteInput(BaseModel):
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vendor: str = Field(min_length=1, max_length=120)
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unit_price: float = Field(gt=0, le=1_000_000)
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quantity: int = Field(gt=0, le=10_000_000)
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delivery_days: int = Field(ge=0, le=3650)
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warranty_months: int = Field(ge=0, le=600)
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SYSTEM_PROMPT = """\
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You are a compact tool-calling agent.
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@field_validator("vendor")
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@classmethod
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def _clean_vendor(cls, value: str) -> str:
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cleaned = " ".join(str(value).strip().split())
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if not cleaned:
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raise ValueError("vendor is required")
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return cleaned
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Use the text_stats tool when the user asks about text, counts, summaries,
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or anything where exact length/word numbers would help. Mention tool results
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briefly instead of dumping raw JSON.
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"""
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RUNTIME_SKILLS_DIR = "quote-judge-studio-v1/.deepagents/skills/"
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DEEPAGENTS_RECURSION_LIMIT = 500
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class QuoteWeights(BaseModel):
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price: float = Field(ge=0, le=1000)
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delivery: float = Field(ge=0, le=1000)
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warranty: float = Field(ge=0, le=1000)
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class BrowserDocument(BaseModel):
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filename: str = Field(min_length=1, max_length=160)
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media_type: str = Field(min_length=1, max_length=120)
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data_base64: str = Field(min_length=1, max_length=MAX_BASE64_CHARS)
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QuoteList = Annotated[list[QuoteInput], Field(max_length=MAX_QUOTES)]
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DocumentList = Annotated[list[BrowserDocument], Field(min_length=1, max_length=MAX_UPLOAD_FILES)]
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ComparisonId = Annotated[str, Field(min_length=1, max_length=80)]
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class QuoteJudgeStudioV1(A2AAgent[QuoteJudgeStudioV1Config, PlatformUserAuth]):
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class QuoteJudgeStudioV1(A2AAgent[QuoteJudgeStudioV1Config, {{ auth_type }}]):
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name = "quote-judge-studio-v1"
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description = (
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"QuoteJudge Studio compares vendor quotes with weighted price, delivery, "
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"and warranty scoring, persists results, supports bounded uploads, and "
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"exposes typed MCP-compatible A2A tools."
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)
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version = "0.1.1"
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description = "QuoteJudge compares vendor quotes with weighted price, delivery, and warranty scoring, persists per-user comparisons, supports browser uploads, and serves a polished packed product UI."
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version = "0.1.0"
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config_model = QuoteJudgeStudioV1Config
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auth_model = PlatformUserAuth
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auth_model = {{ auth_type }}
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# Hosted generated agents read the caller's saved LLM credential through
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# ctx.llm. The platform may proxy that credential through LiteLLM, but agent
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# code never reads provider keys, LiteLLM master keys, or OPENAI_API_KEY
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# directly.
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llm_provisioning = LLMProvisioning.PLATFORM
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pricing = Pricing(
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price_per_call_usd=0.0,
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caller_pays_llm=False,
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notes="Deterministic quote scoring and managed Postgres persistence; no LLM required.",
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caller_pays_llm=True,
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notes="Starter agent uses the caller's saved LLM credential via ctx.llm.",
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)
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workspace_access = WorkspaceAccess.dynamic(
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max_files=4,
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allowed_modes=(WorkspaceMode.READ_ONLY,),
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max_files=64,
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allowed_modes=(WorkspaceMode.READ_ONLY, WorkspaceMode.READ_WRITE_OVERLAY),
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require_reason=False,
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max_total_size_bytes=MAX_UPLOAD_BYTES * MAX_UPLOAD_FILES,
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)
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platform_resources = AgentPlatformResources(
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databases=(
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AgentDatabase(
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name=DATABASE_NAME,
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scope="user",
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access_mode="read_write",
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env=AgentDatabaseEnv(url="DATABASE_URL"),
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migrations=AgentDatabaseMigrations(path="db/migrations"),
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),
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)
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)
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tools_used = ("postgres", "mcp", "file-upload")
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tools_used = ("deepagents", "langchain")
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@a2a.tool(
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description="Compare at least two vendor quotes with price/delivery/warranty weights and persist a production receipt.",
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timeout_seconds=30,
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cost_class="deterministic",
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@a2a.tool(description="Ask the starter DeepAgent to answer with tool calls when useful")
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async def ask(self, ctx: RunContext[{{ auth_type }}], prompt: str) -> str:
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creds = ctx.llm
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await ctx.emit_progress(f"llm: {creds.model} via {creds.source}")
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if not creds.api_key:
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return (
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"LLM key required. Add an LLM credential in Settings > LLM "
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"credentials before running this agent; for local --invoke "
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"runs set AGENT_LLM_KEY."
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)
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async def compare_quotes(
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graph = self._build_deep_agent(ctx=ctx, creds=creds)
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state = await graph.ainvoke(
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{"messages": [{"role": "user", "content": prompt}]},
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config={"recursion_limit": DEEPAGENTS_RECURSION_LIMIT},
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)
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await ctx.emit_progress("deepagent finished")
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return _last_message_text(state)
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def _build_deep_agent(
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self,
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ctx: RunContext[PlatformUserAuth],
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comparison_id: ComparisonId,
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quotes: QuoteList,
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weights: QuoteWeights,
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) -> dict[str, Any]:
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tenant = _tenant_key(ctx)
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validation = _validate_compare_inputs(comparison_id, quotes, weights)
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if validation is not None:
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await _persist_receipt(ctx, tenant, "compare_quotes", {"comparison_id": comparison_id}, validation)
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return validation
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*,
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ctx: RunContext[{{ auth_type }}],
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creds: LLMCreds,
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) -> Any:
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# Lazy imports keep `a2a card` usable before local dependencies are
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# installed. `a2a deploy` installs requirements.txt during the build.
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from a2a_pack.deepagents import create_a2a_deep_agent
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from langchain.agents.middleware import wrap_model_call
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from langchain_core.tools import tool
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result = _score_quotes(comparison_id, quotes, weights)
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result["tenant_scope"] = "user"
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result["receipt"] = await _persist_receipt(
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@tool
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def text_stats(text: str) -> str:
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"""Return exact word, character, and line counts for text."""
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words = [part for part in text.split() if part.strip()]
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return json.dumps(
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{
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"characters": len(text),
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"words": len(words),
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"lines": len(text.splitlines()) or 1,
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}
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)
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@wrap_model_call
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async def log_model_call(request: Any, handler: Any) -> Any:
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messages = request.state.get("messages", [])
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print(
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"[middleware] model_call "
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f"model={creds.model} source={creds.source} messages={len(messages)}"
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)
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return await handler(request)
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backend = ctx.workspace_backend()
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skill_sources = _seed_runtime_skills(backend, ctx)
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# create_a2a_deep_agent resolves provider:model strings with
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# langchain.init_chat_model from ctx.llm, preserving LiteLLM routing,
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# provider-specific extra body, and runtime model overrides.
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return create_a2a_deep_agent(
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ctx,
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tenant,
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"compare_quotes",
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{
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"comparison_id": comparison_id,
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"quote_count": len(quotes),
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"weights": weights.model_dump(mode="json"),
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},
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result,
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creds=creds,
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backend=backend,
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skills=skill_sources or None,
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tools=[text_stats],
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middleware=[log_model_call],
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system_prompt=SYSTEM_PROMPT,
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)
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saved = await _save_comparison(tenant, result)
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if not saved["ok"]:
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return {
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"ok": False,
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"code": saved["code"],
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"message": saved["message"],
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"comparison_id": comparison_id,
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"action": "Retry after the managed database is available, or contact the agent owner.",
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}
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await ctx.emit_progress(f"saved comparison {comparison_id}")
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return result
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@a2a.tool(
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description="Reopen a persisted QuoteJudge comparison by id.",
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timeout_seconds=15,
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cost_class="deterministic",
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idempotent=True,
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)
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async def get_comparison(
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self,
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ctx: RunContext[PlatformUserAuth],
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comparison_id: ComparisonId,
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) -> dict[str, Any]:
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tenant = _tenant_key(ctx)
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if not _valid_comparison_id(comparison_id):
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return _validation_error(
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comparison_id,
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"invalid_comparison_id",
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"comparison_id must start with a letter or number and contain only letters, numbers, dash, underscore, dot, or colon.",
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)
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result = await _load_comparison(tenant, comparison_id)
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if result is None:
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return {
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"ok": False,
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"code": "comparison_not_found",
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"comparison_id": comparison_id,
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"message": "No saved comparison exists for this signed-in user and comparison_id.",
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"action": "Run compare_quotes first, then call get_comparison with the same comparison_id.",
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}
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return result
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@a2a.tool(
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description="Compatibility browser upload bridge: parse bounded base64 JSON/CSV quote files, compare, persist, and receipt the result.",
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timeout_seconds=30,
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cost_class="deterministic",
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)
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async def upload_quotes(
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self,
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ctx: RunContext[PlatformUserAuth],
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comparison_id: ComparisonId,
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documents: DocumentList,
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weights: QuoteWeights,
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) -> dict[str, Any]:
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parsed = _parse_browser_documents(documents)
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if not parsed["ok"]:
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await _persist_receipt(ctx, _tenant_key(ctx), "upload_quotes", {"comparison_id": comparison_id}, parsed)
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return parsed | {"comparison_id": comparison_id}
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return await self.compare_quotes(ctx, comparison_id, parsed["quotes"], weights)
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@a2a.tool(
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description="Compatibility external FileUpload tool: parse one bounded JSON/CSV quote file, compare, persist, and receipt the result.",
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timeout_seconds=30,
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cost_class="deterministic",
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)
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async def upload_quote_file(
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self,
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ctx: RunContext[PlatformUserAuth],
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comparison_id: ComparisonId,
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file: Annotated[
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UploadedFile,
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FileUpload(
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accept=tuple(sorted(ALLOWED_UPLOAD_MEDIA_TYPES)),
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max_bytes=MAX_UPLOAD_BYTES,
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description="JSON or CSV quote file with vendor, unit_price, quantity, delivery_days, warranty_months.",
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),
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],
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weights: QuoteWeights,
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) -> dict[str, Any]:
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if file.size_bytes > MAX_UPLOAD_BYTES:
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return _validation_error(
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comparison_id,
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"upload_too_large",
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f"Upload is {file.size_bytes} bytes; maximum is {MAX_UPLOAD_BYTES} bytes.",
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)
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if file.media_type not in ALLOWED_UPLOAD_MEDIA_TYPES:
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return _validation_error(
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comparison_id,
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"unsupported_media_type",
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"Upload must be JSON, CSV, or plain text containing JSON/CSV quote data.",
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)
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try:
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reader = getattr(ctx.workspace, "read_bytes", None)
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if reader is None:
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raise RuntimeError("workspace reader unavailable")
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data = reader(file.path)
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except Exception: # noqa: BLE001
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return _validation_error(
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comparison_id,
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"upload_unreadable",
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"The uploaded file could not be read from the granted workspace. Re-upload the file and retry.",
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)
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if len(data) > MAX_UPLOAD_BYTES:
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return _validation_error(
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comparison_id,
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"upload_too_large",
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f"Decoded upload is {len(data)} bytes; maximum is {MAX_UPLOAD_BYTES} bytes.",
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)
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parsed = _parse_quote_bytes(data, filename=file.filename, media_type=file.media_type)
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if not parsed["ok"]:
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return parsed | {"comparison_id": comparison_id}
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return await self.compare_quotes(ctx, comparison_id, parsed["quotes"], weights)
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def _tenant_key(ctx: RunContext[PlatformUserAuth]) -> str:
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auth = ctx.auth
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stable = auth.user_id if auth.user_id is not None else (auth.sub or auth.email)
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return f"user:{stable}"
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def _runtime_skills_root(ctx: RunContext[Any]) -> str:
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workspace = getattr(ctx, "_workspace", None)
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prefixes = tuple(getattr(workspace, "write_prefixes", ()) or ())
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if not prefixes:
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outputs_prefix = getattr(workspace, "outputs_prefix", None)
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prefixes = (outputs_prefix or "outputs/",)
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prefix = str(prefixes[0]).strip("/")
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return f"/{prefix}/{RUNTIME_SKILLS_DIR}" if prefix else f"/{RUNTIME_SKILLS_DIR}"
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def _valid_comparison_id(value: str) -> bool:
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return bool(_COMPARISON_ID_RE.fullmatch(str(value or "").strip()))
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def _seed_runtime_skills(backend: Any, ctx: RunContext[Any]) -> list[str]:
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"""Copy packaged DeepAgents skills into the invocation workspace.
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|
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|
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def _validate_compare_inputs(
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comparison_id: str,
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quotes: list[QuoteInput],
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weights: QuoteWeights,
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) -> dict[str, Any] | None:
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if not _valid_comparison_id(comparison_id):
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return _validation_error(
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comparison_id,
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"invalid_comparison_id",
|
||||
"comparison_id must start with a letter or number and contain only letters, numbers, dash, underscore, dot, or colon.",
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)
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if len(quotes) < 2:
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return _validation_error(
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comparison_id,
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"at_least_two_quotes_required",
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"QuoteJudge needs at least two vendor quotes to make a comparison.",
|
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)
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if len({quote.vendor.casefold() for quote in quotes}) < 2:
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return _validation_error(
|
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comparison_id,
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"at_least_two_vendors_required",
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"Provide quotes from at least two distinct vendors.",
|
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)
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total_weight = weights.price + weights.delivery + weights.warranty
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if total_weight <= 0:
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return _validation_error(
|
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comparison_id,
|
||||
"positive_weight_required",
|
||||
"At least one of price, delivery, or warranty weight must be greater than zero.",
|
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)
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return None
|
||||
|
||||
|
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def _validation_error(comparison_id: str, code: str, message: str) -> dict[str, Any]:
|
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return {
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"ok": False,
|
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"code": code,
|
||||
"comparison_id": comparison_id,
|
||||
"message": message,
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||||
"action": "Correct the input and retry the same tool call.",
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}
|
||||
|
||||
|
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def _score_quotes(comparison_id: str, quotes: list[QuoteInput], weights: QuoteWeights) -> dict[str, Any]:
|
||||
rows = [
|
||||
{
|
||||
**quote.model_dump(mode="json"),
|
||||
"total_price": round(quote.unit_price * quote.quantity, 4),
|
||||
}
|
||||
for quote in quotes
|
||||
]
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||||
price_values = [row["total_price"] for row in rows]
|
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delivery_values = [row["delivery_days"] for row in rows]
|
||||
warranty_values = [row["warranty_months"] for row in rows]
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total_weight = weights.price + weights.delivery + weights.warranty
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||||
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||||
scored: list[dict[str, Any]] = []
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for row in rows:
|
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price_score = _lower_is_better(row["total_price"], min(price_values), max(price_values))
|
||||
delivery_score = _lower_is_better(row["delivery_days"], min(delivery_values), max(delivery_values))
|
||||
warranty_score = _higher_is_better(row["warranty_months"], min(warranty_values), max(warranty_values))
|
||||
weighted_score = (
|
||||
price_score * weights.price
|
||||
+ delivery_score * weights.delivery
|
||||
+ warranty_score * weights.warranty
|
||||
) / total_weight
|
||||
scored.append(
|
||||
{
|
||||
**row,
|
||||
"scores": {
|
||||
"price": round(price_score, 2),
|
||||
"delivery": round(delivery_score, 2),
|
||||
"warranty": round(warranty_score, 2),
|
||||
"weighted_total": round(weighted_score, 2),
|
||||
},
|
||||
}
|
||||
)
|
||||
scored.sort(
|
||||
key=lambda row: (
|
||||
-row["scores"]["weighted_total"],
|
||||
row["total_price"],
|
||||
row["delivery_days"],
|
||||
-row["warranty_months"],
|
||||
row["vendor"].casefold(),
|
||||
)
|
||||
)
|
||||
winner = scored[0]
|
||||
now = datetime.now(UTC).isoformat()
|
||||
return {
|
||||
"ok": True,
|
||||
"comparison_id": comparison_id,
|
||||
"recommendation": {
|
||||
"vendor": winner["vendor"],
|
||||
"score": winner["scores"]["weighted_total"],
|
||||
"reason": (
|
||||
f"{winner['vendor']} has the strongest weighted score using "
|
||||
f"price={weights.price:g}, delivery={weights.delivery:g}, warranty={weights.warranty:g}."
|
||||
),
|
||||
},
|
||||
"weights": weights.model_dump(mode="json"),
|
||||
"quote_count": len(quotes),
|
||||
"quotes": scored,
|
||||
"created_at": now,
|
||||
"updated_at": now,
|
||||
}
|
||||
|
||||
|
||||
def _lower_is_better(value: float, min_value: float, max_value: float) -> float:
|
||||
if max_value == min_value:
|
||||
return 100.0
|
||||
return max(0.0, min(100.0, 100.0 * (max_value - value) / (max_value - min_value)))
|
||||
|
||||
|
||||
def _higher_is_better(value: float, min_value: float, max_value: float) -> float:
|
||||
if max_value == min_value:
|
||||
return 100.0
|
||||
return max(0.0, min(100.0, 100.0 * (value - min_value) / (max_value - min_value)))
|
||||
|
||||
|
||||
def _parse_browser_documents(documents: list[BrowserDocument]) -> dict[str, Any]:
|
||||
all_quotes: list[QuoteInput] = []
|
||||
for document in documents:
|
||||
filename = _safe_filename(document.filename)
|
||||
media_type = document.media_type.strip().lower()
|
||||
if media_type not in ALLOWED_UPLOAD_MEDIA_TYPES:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "unsupported_media_type",
|
||||
"message": "Upload must be JSON, CSV, or plain text containing JSON/CSV quote data.",
|
||||
"action": "Upload a .json or .csv file exported from your quote sheet.",
|
||||
}
|
||||
raw_b64 = document.data_base64.strip()
|
||||
if len(raw_b64) > MAX_BASE64_CHARS:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "upload_too_large",
|
||||
"message": f"{filename} exceeds the {MAX_UPLOAD_BYTES} byte decoded upload limit.",
|
||||
"action": "Trim the file or paste the quotes directly into the form.",
|
||||
}
|
||||
try:
|
||||
data = base64.b64decode(raw_b64, validate=True)
|
||||
except (binascii.Error, ValueError):
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "invalid_base64",
|
||||
"message": f"{filename} is not valid base64 data.",
|
||||
"action": "Re-select the file in the browser and retry the upload.",
|
||||
}
|
||||
if len(data) > MAX_UPLOAD_BYTES:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "upload_too_large",
|
||||
"message": f"{filename} decoded to {len(data)} bytes; maximum is {MAX_UPLOAD_BYTES} bytes.",
|
||||
"action": "Trim the file or paste the quotes directly into the form.",
|
||||
}
|
||||
parsed = _parse_quote_bytes(data, filename=filename, media_type=media_type)
|
||||
if not parsed["ok"]:
|
||||
return parsed
|
||||
all_quotes.extend(parsed["quotes"])
|
||||
if len(all_quotes) > MAX_QUOTES:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "too_many_quotes",
|
||||
"message": f"At most {MAX_QUOTES} quotes can be compared in one call.",
|
||||
"action": "Split the quote set into smaller comparisons.",
|
||||
}
|
||||
return {"ok": True, "quotes": all_quotes}
|
||||
|
||||
|
||||
def _safe_filename(value: str) -> str:
|
||||
cleaned = re.sub(r"[^A-Za-z0-9._ -]", "_", str(value or "upload").strip())[:160]
|
||||
return cleaned or "upload"
|
||||
|
||||
|
||||
def _parse_quote_bytes(data: bytes, *, filename: str, media_type: str) -> dict[str, Any]:
|
||||
try:
|
||||
text = data.decode("utf-8-sig")
|
||||
except UnicodeDecodeError:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "upload_not_utf8",
|
||||
"message": f"{filename} must be UTF-8 encoded JSON or CSV text.",
|
||||
"action": "Export the file as UTF-8 CSV or JSON and retry.",
|
||||
}
|
||||
if media_type in {"application/json", "text/json"} or filename.lower().endswith(".json"):
|
||||
return _parse_json_quotes(text, filename=filename)
|
||||
return _parse_csv_quotes(text, filename=filename)
|
||||
|
||||
|
||||
def _parse_json_quotes(text: str, *, filename: str) -> dict[str, Any]:
|
||||
try:
|
||||
payload = json.loads(text)
|
||||
except json.JSONDecodeError as exc:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "invalid_json",
|
||||
"message": f"{filename} is not valid JSON: {exc.msg}.",
|
||||
"action": "Use a JSON array of quote objects, or an object with a quotes array.",
|
||||
}
|
||||
raw_quotes = payload.get("quotes") if isinstance(payload, dict) else payload
|
||||
if not isinstance(raw_quotes, list):
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "quotes_array_required",
|
||||
"message": f"{filename} must contain a quotes array.",
|
||||
"action": "Provide [{vendor, unit_price, quantity, delivery_days, warranty_months}, ...].",
|
||||
}
|
||||
return _coerce_quotes(raw_quotes, source=filename)
|
||||
|
||||
|
||||
def _parse_csv_quotes(text: str, *, filename: str) -> dict[str, Any]:
|
||||
try:
|
||||
rows = list(csv.DictReader(io.StringIO(text)))
|
||||
except csv.Error as exc:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "invalid_csv",
|
||||
"message": f"{filename} is not valid CSV: {exc}.",
|
||||
"action": "Use a header row with vendor, unit_price, quantity, delivery_days, warranty_months.",
|
||||
}
|
||||
if not rows:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "no_quotes_found",
|
||||
"message": f"{filename} did not contain any quote rows.",
|
||||
"action": "Add at least two vendor quote rows.",
|
||||
}
|
||||
return _coerce_quotes(rows, source=filename)
|
||||
|
||||
|
||||
def _coerce_quotes(raw_quotes: list[Any], *, source: str) -> dict[str, Any]:
|
||||
if len(raw_quotes) > MAX_QUOTES:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "too_many_quotes",
|
||||
"message": f"{source} contains {len(raw_quotes)} quotes; maximum is {MAX_QUOTES}.",
|
||||
"action": "Split the file into smaller comparisons.",
|
||||
}
|
||||
quotes: list[QuoteInput] = []
|
||||
errors: list[str] = []
|
||||
for idx, item in enumerate(raw_quotes, start=1):
|
||||
if not isinstance(item, dict):
|
||||
errors.append(f"row {idx}: expected an object")
|
||||
continue
|
||||
try:
|
||||
quotes.append(QuoteInput.model_validate(item))
|
||||
except Exception as exc: # noqa: BLE001
|
||||
errors.append(f"row {idx}: {exc}")
|
||||
if errors:
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "invalid_quote_rows",
|
||||
"message": "One or more quote rows are invalid.",
|
||||
"errors": errors[:5],
|
||||
"action": "Fix the listed rows and retry.",
|
||||
}
|
||||
return {"ok": True, "quotes": quotes}
|
||||
|
||||
|
||||
async def _save_comparison(tenant: str, result: dict[str, Any]) -> dict[str, Any]:
|
||||
db_url = os.environ.get("DATABASE_URL")
|
||||
key = (tenant, result["comparison_id"])
|
||||
if not db_url:
|
||||
_LOCAL_COMPARISONS[key] = json.loads(json.dumps(result, default=str))
|
||||
return {"ok": True}
|
||||
try:
|
||||
import psycopg
|
||||
from psycopg.types.json import Jsonb
|
||||
|
||||
with psycopg.connect(db_url, autocommit=True) as conn:
|
||||
_ensure_schema(conn)
|
||||
conn.execute(
|
||||
DeepAgents loads skills from its backend, while source-controlled
|
||||
``skills/`` folders live in the image. This bridge lets generated agents
|
||||
ship reusable SKILL.md bundles without giving up durable A2A workspace
|
||||
files.
|
||||
"""
|
||||
INSERT INTO quote_judge_comparisons
|
||||
(tenant_key, comparison_id, recommendation_vendor, result_json, updated_at)
|
||||
VALUES (%s, %s, %s, %s, NOW())
|
||||
ON CONFLICT (tenant_key, comparison_id) DO UPDATE SET
|
||||
recommendation_vendor = EXCLUDED.recommendation_vendor,
|
||||
result_json = EXCLUDED.result_json,
|
||||
updated_at = NOW()
|
||||
""",
|
||||
(
|
||||
tenant,
|
||||
result["comparison_id"],
|
||||
result["recommendation"]["vendor"],
|
||||
Jsonb(result),
|
||||
),
|
||||
)
|
||||
conn.execute(
|
||||
"""
|
||||
INSERT INTO app_records (tenant_key, record_kind, payload, updated_at)
|
||||
VALUES (%s, 'quote_comparison', %s, NOW())
|
||||
""",
|
||||
(tenant, Jsonb(result)),
|
||||
)
|
||||
return {"ok": True}
|
||||
except Exception: # noqa: BLE001
|
||||
return {
|
||||
"ok": False,
|
||||
"code": "database_unavailable",
|
||||
"message": "The managed Postgres database could not save this comparison.",
|
||||
}
|
||||
root = Path(__file__).parent / "skills"
|
||||
if not root.exists():
|
||||
return []
|
||||
runtime_skills_root = _runtime_skills_root(ctx)
|
||||
uploads: list[tuple[str, bytes]] = []
|
||||
for path in root.rglob("*"):
|
||||
if path.is_file():
|
||||
rel = path.relative_to(root).as_posix()
|
||||
uploads.append((runtime_skills_root + rel, path.read_bytes()))
|
||||
if uploads:
|
||||
backend.upload_files(uploads)
|
||||
return [runtime_skills_root]
|
||||
return []
|
||||
|
||||
|
||||
async def _load_comparison(tenant: str, comparison_id: str) -> dict[str, Any] | None:
|
||||
key = (tenant, comparison_id)
|
||||
db_url = os.environ.get("DATABASE_URL")
|
||||
if not db_url:
|
||||
return _LOCAL_COMPARISONS.get(key)
|
||||
try:
|
||||
import psycopg
|
||||
def _last_message_text(state: dict[str, Any]) -> str:
|
||||
messages = state.get("messages") or []
|
||||
if not messages:
|
||||
return json.dumps(state, default=str)
|
||||
|
||||
with psycopg.connect(db_url) as conn:
|
||||
_ensure_schema(conn)
|
||||
row = conn.execute(
|
||||
"""
|
||||
SELECT result_json FROM quote_judge_comparisons
|
||||
WHERE tenant_key = %s AND comparison_id = %s
|
||||
ORDER BY updated_at DESC LIMIT 1
|
||||
""",
|
||||
(tenant, comparison_id),
|
||||
).fetchone()
|
||||
if row and row[0]:
|
||||
return dict(row[0])
|
||||
row = conn.execute(
|
||||
"""
|
||||
SELECT payload FROM app_records
|
||||
WHERE tenant_key = %s
|
||||
AND record_kind IN ('quote_comparison', 'comparison', 'quotejudge_comparison')
|
||||
AND payload->>'comparison_id' = %s
|
||||
ORDER BY updated_at DESC LIMIT 1
|
||||
""",
|
||||
(tenant, comparison_id),
|
||||
).fetchone()
|
||||
if row and row[0]:
|
||||
return dict(row[0])
|
||||
return _load_legacy_comparison(conn, tenant, comparison_id)
|
||||
except Exception: # noqa: BLE001
|
||||
return None
|
||||
|
||||
|
||||
def _ensure_schema(conn: Any) -> None:
|
||||
conn.execute(
|
||||
"""
|
||||
CREATE TABLE IF NOT EXISTS app_records (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
tenant_key TEXT NOT NULL,
|
||||
record_kind TEXT NOT NULL,
|
||||
payload JSONB NOT NULL,
|
||||
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
|
||||
)
|
||||
"""
|
||||
)
|
||||
conn.execute(
|
||||
"""
|
||||
CREATE TABLE IF NOT EXISTS quote_judge_comparisons (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
tenant_key TEXT NOT NULL,
|
||||
comparison_id TEXT NOT NULL,
|
||||
recommendation_vendor TEXT NOT NULL,
|
||||
result_json JSONB NOT NULL,
|
||||
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
UNIQUE (tenant_key, comparison_id)
|
||||
)
|
||||
"""
|
||||
)
|
||||
conn.execute(
|
||||
"""
|
||||
CREATE TABLE IF NOT EXISTS quote_judge_receipts (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
receipt_id TEXT,
|
||||
tenant_key TEXT NOT NULL,
|
||||
comparison_id TEXT,
|
||||
skill_name TEXT,
|
||||
tool_name TEXT,
|
||||
status TEXT,
|
||||
input_hash TEXT,
|
||||
result_hash TEXT,
|
||||
receipt_json JSONB,
|
||||
payload JSONB,
|
||||
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
|
||||
)
|
||||
"""
|
||||
)
|
||||
conn.execute("ALTER TABLE quote_judge_receipts ADD COLUMN IF NOT EXISTS receipt_id TEXT")
|
||||
conn.execute("ALTER TABLE quote_judge_receipts ADD COLUMN IF NOT EXISTS skill_name TEXT")
|
||||
conn.execute("ALTER TABLE quote_judge_receipts ADD COLUMN IF NOT EXISTS tool_name TEXT")
|
||||
conn.execute("ALTER TABLE quote_judge_receipts ADD COLUMN IF NOT EXISTS status TEXT")
|
||||
conn.execute("ALTER TABLE quote_judge_receipts ADD COLUMN IF NOT EXISTS input_hash TEXT")
|
||||
conn.execute("ALTER TABLE quote_judge_receipts ADD COLUMN IF NOT EXISTS result_hash TEXT")
|
||||
conn.execute("ALTER TABLE quote_judge_receipts ADD COLUMN IF NOT EXISTS receipt_json JSONB")
|
||||
conn.execute("ALTER TABLE quote_judge_receipts ADD COLUMN IF NOT EXISTS payload JSONB")
|
||||
conn.execute("CREATE INDEX IF NOT EXISTS app_records_tenant_kind_idx ON app_records (tenant_key, record_kind, created_at DESC)")
|
||||
conn.execute("CREATE INDEX IF NOT EXISTS quote_judge_receipts_tenant_idx ON quote_judge_receipts (tenant_key, created_at DESC)")
|
||||
|
||||
|
||||
def _load_legacy_comparison(conn: Any, tenant: str, comparison_id: str) -> dict[str, Any] | None:
|
||||
for table in ("quote_comparisons", "comparisons"):
|
||||
columns = _table_columns(conn, table)
|
||||
if not columns or "tenant_key" not in columns or "comparison_id" not in columns:
|
||||
continue
|
||||
for json_col in ("result_json", "payload", "result", "data"):
|
||||
if json_col not in columns:
|
||||
continue
|
||||
row = conn.execute(
|
||||
f"SELECT {json_col} FROM {table} WHERE tenant_key = %s AND comparison_id = %s LIMIT 1",
|
||||
(tenant, comparison_id),
|
||||
).fetchone()
|
||||
if row and isinstance(row[0], dict):
|
||||
return dict(row[0])
|
||||
return None
|
||||
|
||||
|
||||
def _table_columns(conn: Any, table: str) -> set[str]:
|
||||
rows = conn.execute(
|
||||
"""
|
||||
SELECT column_name FROM information_schema.columns
|
||||
WHERE table_schema = current_schema() AND table_name = %s
|
||||
""",
|
||||
(table,),
|
||||
).fetchall()
|
||||
return {str(row[0]) for row in rows}
|
||||
|
||||
|
||||
async def _persist_receipt(
|
||||
ctx: RunContext[PlatformUserAuth],
|
||||
tenant: str,
|
||||
skill_name: str,
|
||||
inputs: dict[str, Any],
|
||||
result: dict[str, Any],
|
||||
) -> dict[str, Any]:
|
||||
comparison_id = str(inputs.get("comparison_id") or result.get("comparison_id") or "")
|
||||
receipt = {
|
||||
"receipt_type": "quote_judge_execution",
|
||||
"agent": QuoteJudgeStudioV1.name,
|
||||
"agent_version": QuoteJudgeStudioV1.version,
|
||||
"skill_name": skill_name,
|
||||
"tool_name": skill_name,
|
||||
"comparison_id": comparison_id,
|
||||
"tenant_scope": "user",
|
||||
"task_id": getattr(ctx, "task_id", ""),
|
||||
"created_at": datetime.now(UTC).isoformat(),
|
||||
"input_hash": _hash_json(inputs),
|
||||
"result_hash": _hash_json({k: v for k, v in result.items() if k != "receipt"}),
|
||||
"status": "ok" if result.get("ok") else "validation_error",
|
||||
}
|
||||
receipt["receipt_id"] = _hash_json(receipt)[:32]
|
||||
db_url = os.environ.get("DATABASE_URL")
|
||||
if not db_url:
|
||||
_LOCAL_RECEIPTS.append(receipt)
|
||||
return {"persisted": True, "receipt_id": receipt["receipt_id"]}
|
||||
try:
|
||||
import psycopg
|
||||
from psycopg.types.json import Jsonb
|
||||
|
||||
with psycopg.connect(db_url, autocommit=True) as conn:
|
||||
_ensure_schema(conn)
|
||||
conn.execute(
|
||||
"""
|
||||
INSERT INTO quote_judge_receipts
|
||||
(receipt_id, tenant_key, comparison_id, skill_name, tool_name,
|
||||
status, input_hash, result_hash, receipt_json, payload)
|
||||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
|
||||
""",
|
||||
(
|
||||
receipt["receipt_id"],
|
||||
tenant,
|
||||
comparison_id or None,
|
||||
skill_name,
|
||||
skill_name,
|
||||
receipt["status"],
|
||||
receipt["input_hash"],
|
||||
receipt["result_hash"],
|
||||
Jsonb(receipt),
|
||||
Jsonb(receipt),
|
||||
),
|
||||
)
|
||||
return {"persisted": True, "receipt_id": receipt["receipt_id"]}
|
||||
except Exception: # noqa: BLE001
|
||||
return {"persisted": False, "receipt_id": receipt["receipt_id"], "warning": "receipt_database_write_failed"}
|
||||
|
||||
|
||||
def _hash_json(payload: dict[str, Any]) -> str:
|
||||
data = json.dumps(payload, sort_keys=True, separators=(",", ":"), default=str).encode("utf-8")
|
||||
return hashlib.sha256(data).hexdigest()
|
||||
content = getattr(messages[-1], "content", None)
|
||||
if isinstance(content, str):
|
||||
return content
|
||||
if isinstance(content, list):
|
||||
parts: list[str] = []
|
||||
for item in content:
|
||||
if isinstance(item, dict):
|
||||
text = item.get("text") or item.get("content")
|
||||
if text:
|
||||
parts.append(str(text))
|
||||
elif item:
|
||||
parts.append(str(item))
|
||||
return "\n".join(parts) if parts else json.dumps(content, default=str)
|
||||
return str(content or messages[-1])
|
||||
|
||||
Reference in New Issue
Block a user